Interspeech
Collection
Accepted papers for Interspeech (Annual Conference of the International Speech Communication Association), one dataset per year. • 13 items • Updated
paper_id stringlengths 15 39 | title stringlengths 17 202 | authors listlengths 1 19 | isca_url stringlengths 66 90 | pdf_url stringlengths 65 89 | doi stringlengths 27 30 | pages stringlengths 3 9 | bibtex large_stringlengths 280 679 | abstract large_stringlengths 377 1.54k | arxiv_id stringlengths 10 10 ⌀ | arxiv_id_source stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|
ducceschi25_interspeech | Speech transcription from South Tyrolean Dialect to Standard German with Whisper | [
"Luca Ducceschi",
"Greta H. Franzini"
] | https://www.isca-archive.org/interspeech_2025/ducceschi25_interspeech.html | https://www.isca-archive.org/interspeech_2025/ducceschi25_interspeech.pdf | 10.21437/Interspeech.2025-1976 | 1-5 | @inproceedings{ducceschi25_interspeech,
title = {{Speech transcription from South Tyrolean Dialect to Standard German with Whisper}},
author = {Luca Ducceschi and Greta H. Franzini},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {1--5},
doi = {10.21437/Interspeech.2025-1976}... | This study presents the first fine-tuned Whisper model for the automatic translation of South Tyrolean dialectal speech into Standard German text. To address an unmet need for subtitling and translation, we introduce a small corpus of manually annotated and synthetic speech data compiled for this task. Through fine-tun... | null | null |
subramanian25_interspeech | Length Aware Speech Translation for Video Dubbing | [
"Aswin Shanmugam Subramanian",
"Harveen Chadha",
"Vikas Joshi",
"Shubham Bansal",
"Jian Xue",
"Rupeshkumar Mehta",
"Jinyu Li"
] | https://www.isca-archive.org/interspeech_2025/subramanian25_interspeech.html | https://www.isca-archive.org/interspeech_2025/subramanian25_interspeech.pdf | 10.21437/Interspeech.2025-1166 | 6-10 | @inproceedings{subramanian25_interspeech,
title = {{Length Aware Speech Translation for Video Dubbing}},
author = {Aswin Shanmugam Subramanian and Harveen Chadha and Vikas Joshi and Shubham Bansal and Jian Xue and Rupeshkumar Mehta and Jinyu Li},
year = {2025},
booktitle = {{Interspeech 2025}},
pa... | In video dubbing, aligning translated audio with the source audio is a significant challenge. Our focus is on achieving this efficiently, tailored for real-time, on-device video dubbing scenarios. We developed a phoneme-based end-to-end length-sensitive speech translation (LSST) model, which generates translations of v... | 2506.00740 | title_snapshot |
kumar25c_interspeech | ArticulateX: End-to-End Monolingual Speech Translation in Articulator Space | [
"Vishal Kumar",
"Vinayak Abrol"
] | https://www.isca-archive.org/interspeech_2025/kumar25c_interspeech.html | https://www.isca-archive.org/interspeech_2025/kumar25c_interspeech.pdf | 10.21437/Interspeech.2025-1305 | 11-15 | @inproceedings{kumar25c_interspeech,
title = {{ArticulateX: End-to-End Monolingual Speech Translation in Articulator Space}},
author = {Vishal Kumar and Vinayak Abrol},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {11--15},
doi = {10.21437/Interspeech.2025-1305},
issn ... | We present ArticulateX, the first non-autoregressive direct speech-to-speech translation (S2ST) model that operates through an articulatory latent space, offering an efficient alternative to existing cascaded models. It consists of a direct speech-to-articulator encoder, a latent articulator-to-MelSpectrogram mapper, a... | null | null |
ou25_interspeech | CMSP-ST: Cross-modal Mixup with Speech Purification for End-to-End Speech Translation | [
"Jiale Ou",
"Hongying Zan"
] | https://www.isca-archive.org/interspeech_2025/ou25_interspeech.html | https://www.isca-archive.org/interspeech_2025/ou25_interspeech.pdf | 10.21437/Interspeech.2025-858 | 16-20 | @inproceedings{ou25_interspeech,
title = {{CMSP-ST: Cross-modal Mixup with Speech Purification for End-to-End Speech Translation}},
author = {Jiale Ou and Hongying Zan},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {16--20},
doi = {10.21437/Interspeech.2025-858},
issn ... | End-to-end speech translation (E2E ST) aims to directly convert speech in a source language into text in a target language, and its performance is constrained by the inherent modality gap. Existing methods attempt to align speech and text representations to perform cross-modal mixup at the token level, which overlooks ... | null | null |
higuchi25_interspeech | End-to-End Speech Translation Guided by Robust Translation Capability of Large Language Model | [
"Yosuke Higuchi",
"Tetsuji Ogawa",
"Tetsunori Kobayashi"
] | https://www.isca-archive.org/interspeech_2025/higuchi25_interspeech.html | https://www.isca-archive.org/interspeech_2025/higuchi25_interspeech.pdf | 10.21437/Interspeech.2025-317 | 21-25 | @inproceedings{higuchi25_interspeech,
title = {{End-to-End Speech Translation Guided by Robust Translation Capability of Large Language Model}},
author = {Yosuke Higuchi and Tetsuji Ogawa and Tetsunori Kobayashi},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {21--25},
doi =... | We present an end-to-end speech translation (ST) model that uses a large language model (LLM) to guide the translation process. Recent advances in LLMs have shown strong contextual understanding and robustness to noisy text, making them beneficial for mitigating automatic speech recognition (ASR) errors. Building on th... | null | null |
pu25_interspeech | Empowering Large Language Models for End-to-End Speech Translation Leveraging Synthetic Data | [
"Yu Pu",
"Xiaoqian Liu",
"Guangyu Zhang",
"Zheng Yan",
"Wei-Qiang Zhang",
"Xie Chen"
] | https://www.isca-archive.org/interspeech_2025/pu25_interspeech.html | https://www.isca-archive.org/interspeech_2025/pu25_interspeech.pdf | 10.21437/Interspeech.2025-2341 | 26-30 | @inproceedings{pu25_interspeech,
title = {{Empowering Large Language Models for End-to-End Speech Translation Leveraging Synthetic Data}},
author = {Yu Pu and Xiaoqian Liu and Guangyu Zhang and Zheng Yan and Wei-Qiang Zhang and Xie Chen},
year = {2025},
booktitle = {{Interspeech 2025}},
pages ... | Speech-to-speech translation (S2ST) is a key technology for seamless cross-lingual communication. Traditional cascaded systems, which involve speech recognition, text translation, and speech synthesis, are prone to error propagation and latency. In this work, we present SLAM-TR, an end-to-end speech translation model w... | null | null |
gallego25_interspeech | Speech-to-Text Translation with Phoneme-Augmented CoT: Enhancing Cross-Lingual Transfer in Low-Resource Scenarios | [
"Gerard I. Gállego",
"Oriol Pareras",
"Martà Cortada Garcia",
"Lucas Takanori",
"Javier Hernando"
] | https://www.isca-archive.org/interspeech_2025/gallego25_interspeech.html | https://www.isca-archive.org/interspeech_2025/gallego25_interspeech.pdf | 10.21437/Interspeech.2025-1954 | 31-35 | @inproceedings{gallego25_interspeech,
title = {{Speech-to-Text Translation with Phoneme-Augmented CoT: Enhancing Cross-Lingual Transfer in Low-Resource Scenarios}},
author = {Gerard I. Gállego and Oriol Pareras and Martà {Cortada Garcia} and Lucas Takanori and Javier Hernando},
year = {2025},
book... | We propose a Speech-to-Text Translation (S2TT) approach that integrates phoneme representations into a Chain-of-Thought (CoT) framework to improve translation in low-resource and zero-resource settings. By introducing phoneme recognition as an intermediate step, we enhance cross-lingual transfer, enabling translation e... | 2505.24691 | title_snapshot |
futami25_interspeech | Scheduled Interleaved Speech-Text Training for Speech-to-Speech Translation with LLMs | [
"Hayato Futami",
"Emiru Tsunoo",
"Yosuke Kashiwagi",
"Yuki Ito",
"Hassan Shahmohammadi",
"Siddhant Arora",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2025/futami25_interspeech.html | https://www.isca-archive.org/interspeech_2025/futami25_interspeech.pdf | 10.21437/Interspeech.2025-1595 | 36-40 | @inproceedings{futami25_interspeech,
title = {{Scheduled Interleaved Speech-Text Training for Speech-to-Speech Translation with LLMs}},
author = {Hayato Futami and Emiru Tsunoo and Yosuke Kashiwagi and Yuki Ito and Hassan Shahmohammadi and Siddhant Arora and Shinji Watanabe},
year = {2025},
booktitl... | Speech-to-speech translation (S2ST) has been advanced with large language models (LLMs), which are fine-tuned on discrete speech units. In such approaches, modality adaptation from text to speech has been an issue. LLMs are trained on text-only data, which presents challenges to adapt them to speech modality with limit... | 2506.10299 | title_snapshot |
pothula25_interspeech | End-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data | [
"Aishwarya Pothula",
"Bhavana Akkiraju",
"Srihari Bandarupalli",
"Charan D",
"Santosh Kesiraju",
"Anil Kumar Vuppala"
] | https://www.isca-archive.org/interspeech_2025/pothula25_interspeech.html | https://www.isca-archive.org/interspeech_2025/pothula25_interspeech.pdf | 10.21437/Interspeech.2025-2525 | 41-45 | @inproceedings{pothula25_interspeech,
title = {{End-to-End Speech Translation for Low-Resource Languages Using Weakly Labeled Data}},
author = {Aishwarya Pothula and Bhavana Akkiraju and Srihari Bandarupalli and Charan D and Santosh Kesiraju and Anil Kumar Vuppala},
year = {2025},
booktitle = {{Inte... | The scarcity of high-quality annotated data presents a significant challenge in developing effective end-to-end speech-to-text translation (ST) systems, particularly for low-resource languages. This paper explores the hypothesis that weakly labeled data can be used to build ST models for low-resource language pairs. We... | 2506.16251 | title_snapshot |
wang25i_interspeech | Self-Improvement for Audio Large Language Model using Unlabeled Speech | [
"Shaowen Wang",
"Xinyuan Chen",
"Yao Xu"
] | https://www.isca-archive.org/interspeech_2025/wang25i_interspeech.html | https://www.isca-archive.org/interspeech_2025/wang25i_interspeech.pdf | 10.21437/Interspeech.2025-1200 | 46-50 | @inproceedings{wang25i_interspeech,
title = {{Self-Improvement for Audio Large Language Model using Unlabeled Speech}},
author = {Shaowen Wang and Xinyuan Chen and Yao Xu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {46--50},
doi = {10.21437/Interspeech.2025-1200},
issn... | Recent audio LLMs have emerged rapidly, demonstrating strong generalization across various speech tasks. However, given the inherent complexity of speech signals, these models inevitably suffer from performance degradation in specific target domains. To address this, we focus on enhancing audio LLMs in target domains w... | 2507.20169 | title_snapshot |
pei25_interspeech | Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio | [
"Yan Ru Pei",
"Ritik Shrivastava",
"Fnu Sidharth"
] | https://www.isca-archive.org/interspeech_2025/pei25_interspeech.html | https://www.isca-archive.org/interspeech_2025/pei25_interspeech.pdf | 10.21437/Interspeech.2025-19 | 51-55 | @inproceedings{pei25_interspeech,
title = {{Optimized Real-time Speech Enhancement with Deep SSMs on Raw Audio}},
author = {Yan Ru Pei and Ritik Shrivastava and Fnu Sidharth},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {51--55},
doi = {10.21437/Interspeech.2025-19},
iss... | We present aTENNuate, a simple deep state-space autoencoder configured for efficient online raw speech enhancement in an end-to-end fashion. The network's performance is primarily evaluated on raw speech denoising, with additional assessments on tasks such as super-resolution and de-quantization. We benchmark aTENNuate... | 2409.03377 | title_judge |
lu25_interspeech | A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement | [
"Shenghui Lu",
"Hukai Huang",
"Jinanglong Yao",
"Kaidi Wang",
"Qingyang Hong",
"Lin Li"
] | https://www.isca-archive.org/interspeech_2025/lu25_interspeech.html | https://www.isca-archive.org/interspeech_2025/lu25_interspeech.pdf | 10.21437/Interspeech.2025-242 | 56-60 | @inproceedings{lu25_interspeech,
title = {{A Two-Stage Hierarchical Deep Filtering Framework for Real-Time Speech Enhancement}},
author = {Shenghui Lu and Hukai Huang and Jinanglong Yao and Kaidi Wang and Qingyang Hong and Lin Li},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {56--... | This paper proposes a model that integrates sub-band processing and deep filtering to fully exploit information from the target time-frequency (TF) bin and its surrounding TF bins for single-channel speech enhancement. The sub-band module captures surrounding frequency bin information at the input, while the deep filte... | 2506.01023 | title_snapshot |
ma25c_interspeech | Real-Time Audio-Visual Speech Enhancement Using Pre-trained Visual Representations | [
"Teng Ma",
"Sile Yin",
"Li-Chia Yang",
"Shuo Zhang"
] | https://www.isca-archive.org/interspeech_2025/ma25c_interspeech.html | https://www.isca-archive.org/interspeech_2025/ma25c_interspeech.pdf | 10.21437/Interspeech.2025-2223 | 61-65 | @inproceedings{ma25c_interspeech,
title = {{Real-Time Audio-Visual Speech Enhancement Using Pre-trained Visual Representations}},
author = {Teng Ma and Sile Yin and Li-Chia Yang and Shuo Zhang},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {61--65},
doi = {10.21437/Interspe... | Speech enhancement in audio-only settings remains challenging, particularly in the presence of interfering speakers. This paper presents a simple yet effective real-time audio-visual speech enhancement (AVSE) system, RAVEN, which isolates and enhances the on-screen target speaker while suppressing interfering speakers ... | 2507.21448 | title_snapshot |
song25d_interspeech | Lightweight Speech Enhancement Model Based on Harmonic Attention and Phase Estimation with Skin-Attachable Accelerometer | [
"Yonghun Song",
"Yeeun Kim",
"Yoonyoung Chung"
] | https://www.isca-archive.org/interspeech_2025/song25d_interspeech.html | https://www.isca-archive.org/interspeech_2025/song25d_interspeech.pdf | 10.21437/Interspeech.2025-2642 | 66-70 | @inproceedings{song25d_interspeech,
title = {{Lightweight Speech Enhancement Model Based on Harmonic Attention and Phase Estimation with Skin-Attachable Accelerometer}},
author = {Yonghun Song and Yeeun Kim and Yoonyoung Chung},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {66--70}... | Skin-attachable accelerometers (ACCs) capture speech vibrations through the skin, providing a noise-robust complement to microphone (MIC) signals. However, prior multi-modal models combining these signals face trade-offs between processing overhead and performance. This study proposes a lightweight ACC-assisted U-Net (... | null | null |
gao25_interspeech | TSDT-Net: Ultra-Low-Complexity Two-Stage Model Combining Dual-Path-Transformer and Transform-Average-Concatenate Network for Speech Enhancement | [
"Yi Gao",
"Hangting Chen",
"Siyu Zhang",
"Qingshan Yang",
"Jingcong Chen"
] | https://www.isca-archive.org/interspeech_2025/gao25_interspeech.html | https://www.isca-archive.org/interspeech_2025/gao25_interspeech.pdf | 10.21437/Interspeech.2025-429 | 71-75 | @inproceedings{gao25_interspeech,
title = {{TSDT-Net: Ultra-Low-Complexity Two-Stage Model Combining Dual-Path-Transformer and Transform-Average-Concatenate Network for Speech Enhancement}},
author = {Yi Gao and Hangting Chen and Siyu Zhang and Qingshan Yang and Jingcong Chen},
year = {2025},
bookti... | This paper introduces TSDT-Net, a dual-stage ultra-low-complexity architecture for speech enhancement which achieves higher denoising performance with limited parameter number and computational cost. Its first stage utilizes a simplified Dual-Path-Transformer(DPT) structure. In the second stage, the first-stage output ... | null | null |
b25_interspeech | Structured Codebook Based Hierarchical Framework for DNN for Computationally Efficient Speech Enhancement | [
"Chidambar B",
"Hanumanth Rao Naidu"
] | https://www.isca-archive.org/interspeech_2025/b25_interspeech.html | https://www.isca-archive.org/interspeech_2025/b25_interspeech.pdf | 10.21437/Interspeech.2025-1176 | 76-80 | @inproceedings{b25_interspeech,
title = {{Structured Codebook Based Hierarchical Framework for DNN for Computationally Efficient Speech Enhancement}},
author = {Chidambar B and Hanumanth Rao Naidu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {76--80},
doi = {10.21437/Inte... | Deep Neural Networks (DNN) based single-channel speech enhancement techniques have surpassed traditional techniques in handling non-stationary noise, however, they are computationally demanding. In this work, we introduce a novel Hierarchical Framework for DNNs (HF-DNN) for speech enhancement that replaces a single com... | null | null |
zhou25b_interspeech | Evaluation of Three Automatic Alignment Tools for the Processing of Non-native French | [
"Qian Zhou",
"Mathilde Hutin"
] | https://www.isca-archive.org/interspeech_2025/zhou25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/zhou25b_interspeech.pdf | 10.21437/Interspeech.2025-716 | 81-85 | @inproceedings{zhou25b_interspeech,
title = {{Evaluation of Three Automatic Alignment Tools for the Processing of Non-native French}},
author = {Qian Zhou and Mathilde Hutin},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {81--85},
doi = {10.21437/Interspeech.2025-716},
is... | The production of non-native speech is known to display "cross-language phonetic interference", which makes such speech uneasy to align and label automatically. Automatic phonetic alignment refers to an automated process whereby software synchronizes speech with its transcription, usually at the phone and word levels. ... | null | null |
wu25l_interspeech | CrossPhon: An Auto Phone Mapping Tool to Streamline Cross-language Modeling for Phone Alignment of Low-resource Languages | [
"Hongchen Wu",
"Yixin Gu"
] | https://www.isca-archive.org/interspeech_2025/wu25l_interspeech.html | https://www.isca-archive.org/interspeech_2025/wu25l_interspeech.pdf | 10.21437/Interspeech.2025-2401 | 86-90 | @inproceedings{wu25l_interspeech,
title = {{CrossPhon: An Auto Phone Mapping Tool to Streamline Cross-language Modeling for Phone Alignment of Low-resource Languages}},
author = {Hongchen Wu and Yixin Gu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {86--90},
doi = {10.214... | Phone alignment matches spoken sounds with text, streamlining speech dataset creation and analysis. However, most trained aligners focus on Indo-European languages, leaving under-resourced languages unsupported. Developing new aligners for these languages requires expertise and large datasets, which are often scarce. C... | null | null |
magoshi25_interspeech | Multi-lingual and Zero-Shot Speech Recognition by Incorporating Classification of Language-Independent Articulatory Features | [
"Ryo Magoshi",
"Shinsuke Sakai",
"Jaeyoung Lee",
"Tatsuya Kawahara"
] | https://www.isca-archive.org/interspeech_2025/magoshi25_interspeech.html | https://www.isca-archive.org/interspeech_2025/magoshi25_interspeech.pdf | 10.21437/Interspeech.2025-1827 | 91-95 | @inproceedings{magoshi25_interspeech,
title = {{Multi-lingual and Zero-Shot Speech Recognition by Incorporating Classification of Language-Independent Articulatory Features}},
author = {Ryo Magoshi and Shinsuke Sakai and Jaeyoung Lee and Tatsuya Kawahara},
year = {2025},
booktitle = {{Interspeech 20... | We address multi-lingual speech recognition including unknown or zero-shot languages based on the International Phonetic Alphabet (IPA) and articulatory features. Articulatory features are language-independent representations for IPA based on phonetic knowledge. In the previous studies, however, they were mostly limite... | null | null |
hsu25_interspeech | Instantaneous changes in acoustic signals reflect syllable progression and cross-linguistic syllable variation | [
"Haley Hsu",
"Dani Byrd",
"Khalil Iskarous",
"Louis Goldstein"
] | https://www.isca-archive.org/interspeech_2025/hsu25_interspeech.html | https://www.isca-archive.org/interspeech_2025/hsu25_interspeech.pdf | 10.21437/Interspeech.2025-1040 | 96-100 | @inproceedings{hsu25_interspeech,
title = {{Instantaneous changes in acoustic signals reflect syllable progression and cross-linguistic syllable variation}},
author = {Haley Hsu and Dani Byrd and Khalil Iskarous and Louis Goldstein},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {96... | While abstract speech representations often exploit sequenced syllable units, how exactly syllables as abstract cognitive compositional structure relate to observable patterns in the articulatory and acoustic signals remains opaque. Previous work suggests oscillatory acoustic properties link such linguistic representat... | null | null |
bakkouche25b_interspeech | Influence of Proficiency and L2 Experience on Dynamic Spectral Cue Utilization in L2 Vowel Perception and Production | [
"Linda Bakkouche",
"Brechtje Post"
] | https://www.isca-archive.org/interspeech_2025/bakkouche25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/bakkouche25b_interspeech.pdf | 10.21437/Interspeech.2025-954 | 101-105 | @inproceedings{bakkouche25b_interspeech,
title = {{Influence of Proficiency and L2 Experience on Dynamic Spectral Cue Utilization in L2 Vowel Perception and Production}},
author = {Linda Bakkouche and Brechtje Post},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {101--105},
doi ... | The acquisition of English vowels as an L2 is complex, yet most studies focus on static measures, with little attention to dynamic spectral cues like Vowel-Inherent Spectral Change (VISC). It remains unclear how language experience and length of residence (LOR) in immersion-rich environments affect perception-productio... | null | null |
yazawa25_interspeech | A Bayesian Approach to L2 Fluency Ratings by Native and Nonnative Listeners | [
"Kakeru Yazawa",
"Takayuki Konishi"
] | https://www.isca-archive.org/interspeech_2025/yazawa25_interspeech.html | https://www.isca-archive.org/interspeech_2025/yazawa25_interspeech.pdf | 10.21437/Interspeech.2025-152 | 106-110 | @inproceedings{yazawa25_interspeech,
title = {{A Bayesian Approach to L2 Fluency Ratings by Native and Nonnative Listeners}},
author = {Kakeru Yazawa and Takayuki Konishi},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {106--110},
doi = {10.21437/Interspeech.2025-152},
iss... | This study investigates how native and nonnative listeners evaluate the fluency of Japanese speakers' English using a Bayesian modeling framework. Data were obtained from 16 listeners with diverse linguistic backgrounds (Cantonese, English, French, German, Japanese, Korean, Mandarin, Polish, Punjabi, and Spanish), who ... | null | null |
hamann25_interspeech | Are loan sequences different from foreign sequences? A perception study with Japanese listeners on coronal obstruent â high front vowel sequences | [
"Silke Hamann",
"Andrea AliÄehajiÄ"
] | https://www.isca-archive.org/interspeech_2025/hamann25_interspeech.html | https://www.isca-archive.org/interspeech_2025/hamann25_interspeech.pdf | 10.21437/Interspeech.2025-502 | 111-115 | @inproceedings{hamann25_interspeech,
title = {{Are loan sequences different from foreign sequences? A perception study with Japanese listeners on coronal obstruent â high front vowel sequences}},
author = {Silke Hamann and Andrea AliÄehajiÄ},
year = {2025},
booktitle = {{Interspeech 2025}},
pa... | Native phonotactics influences speech perception, as numerous studies have shown. The present study tackles the question whether there is a difference in perceptual performance if the involved sequence occurs only in loanwords, compared to a sequence that does not occur at all in the native language. This was tested wi... | null | null |
chan25_interspeech | Relative cue weighting in multilingual stop voicing production | [
"Le Xuan Chan",
"Annika Heuser"
] | https://www.isca-archive.org/interspeech_2025/chan25_interspeech.html | https://www.isca-archive.org/interspeech_2025/chan25_interspeech.pdf | 10.21437/Interspeech.2025-2259 | 116-120 | @inproceedings{chan25_interspeech,
title = {{Relative cue weighting in multilingual stop voicing production}},
author = {Le Xuan Chan and Annika Heuser},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {116--120},
doi = {10.21437/Interspeech.2025-2259},
issn = {2958-179... | How does a multilingual speaker produce similar phonological contrasts across the different languages that they speak? Some theories predict crosslinguistic influence while others predict that multilinguals keep separate sound inventories for each language. In this paper, we present crosslinguistic data from early mult... | null | null |
white25_interspeech | Variability in Intervocalic /t/ and Community Diversity in Australian English | [
"Hannah White",
"Joshua Penney",
"Felicity Cox"
] | https://www.isca-archive.org/interspeech_2025/white25_interspeech.html | https://www.isca-archive.org/interspeech_2025/white25_interspeech.pdf | 10.21437/Interspeech.2025-664 | 121-125 | @inproceedings{white25_interspeech,
title = {{Variability in Intervocalic /t/ and Community Diversity in Australian English }},
author = {Hannah White and Joshua Penney and Felicity Cox},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {121--125},
doi = {10.21437/Interspeech.2... | The voiceless alveolar stop /t/ exhibits considerable variation in English. Realisations of /t/ vary depending phonetic context and social factors such as gender, age and socioeconomic status. Generally, studies on Australian English have focused on the âmainstreamâ variety, without acknowledging the wide range of ... | null | null |
mote25b_interspeech | Vector Quantized Cross-lingual Unsupervised Domain Adaptation for Speech Emotion Recognition | [
"Pravin Mote",
"Donita Robinson",
"Elizabeth Richerson",
"Carlos Busso"
] | https://www.isca-archive.org/interspeech_2025/mote25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/mote25b_interspeech.pdf | 10.21437/Interspeech.2025-2123 | 126-130 | @inproceedings{mote25b_interspeech,
title = {{Vector Quantized Cross-lingual Unsupervised Domain Adaptation for Speech Emotion Recognition}},
author = {Pravin Mote and Donita Robinson and Elizabeth Richerson and Carlos Busso},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {126--130... | Building speech emotion recognition (SER) models for low-resource languages is challenging due to the scarcity of labeled speech data. This limitation mandates the development of cross-lingual unsupervised domain adaptation techniques to effectively utilize labeled data from resource-rich languages. Inspired by the Tra... | null | null |
phukan25b_interspeech | HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition | [
"Orchid Chetia Phukan",
"Girish",
"Mohd Mujtaba Akhtar",
"Swarup Ranjan Behera",
"Pailla Balakrishna Reddy",
"Arun Balaji Buduru",
"Rajesh Sharma"
] | https://www.isca-archive.org/interspeech_2025/phukan25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/phukan25b_interspeech.pdf | 10.21437/Interspeech.2025-2191 | 131-135 | @inproceedings{phukan25b_interspeech,
title = {{HYFuse: Aligning Heterogeneous Speech Pre-Trained Representations in Hyperbolic Space for Speech Emotion Recognition}},
author = {Orchid Chetia Phukan and Girish and Mohd Mujtaba Akhtar and Swarup Ranjan Behera and Pailla Balakrishna Reddy and Arun Balaji Budu... | Compression-based representations (CBRs) from neural audio codecs such as EnCodec capture intricate acoustic features like pitch and timbre, while representation-learning-based representations (RLRs) from pre-trained models trained for speech representation learning such as WavLM encode high-level semantic and prosodic... | 2506.03403 | title_snapshot |
fang25b_interspeech | Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning | [
"Shi-Xin Fang",
"Liang-Yeh Shen",
"Yi-Cheng Lin",
"Huang-Cheng Chou",
"Hung-yi Lee"
] | https://www.isca-archive.org/interspeech_2025/fang25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/fang25b_interspeech.pdf | 10.21437/Interspeech.2025-832 | 136-140 | @inproceedings{fang25b_interspeech,
title = {{Meta-PerSER: Few-Shot Listener Personalized Speech Emotion Recognition via Meta-learning}},
author = {Shi-Xin Fang and Liang-Yeh Shen and Yi-Cheng Lin and Huang-Cheng Chou and Hung-yi Lee},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {... | This paper introduces Meta-PerSER, a novel meta-learning framework that personalizes Speech Emotion Recognition (SER) by adapting to each listenerâs unique way of interpreting emotion. Conventional SER systems rely on aggregated annotations, often overlooking individual subtleties and leading to inconsistent predicti... | 2505.16220 | title_snapshot |
chang25d_interspeech | Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation | [
"Yi Chang",
"Zhao Ren",
"Zhonghao Zhao",
"Thanh Tam Nguyen",
"Kun Qian",
"Tanja Schultz",
"Björn W. Schuller"
] | https://www.isca-archive.org/interspeech_2025/chang25d_interspeech.html | https://www.isca-archive.org/interspeech_2025/chang25d_interspeech.pdf | 10.21437/Interspeech.2025-2778 | 141-145 | @inproceedings{chang25d_interspeech,
title = {{Breaking Resource Barriers in Speech Emotion Recognition via Data Distillation}},
author = {Yi Chang and Zhao Ren and Zhonghao Zhao and Thanh Tam Nguyen and Kun Qian and Tanja Schultz and Björn W. Schuller},
year = {2025},
booktitle = {{Interspeech 202... | Speech emotion recognition (SER) plays a crucial role in human-computer interaction. The emergence of edge devices in the Internet of Things (IoT) presents challenges in constructing intricate deep learning models due to constraints in memory and computational resources. Moreover, emotional speech data often contains p... | 2406.15119 | title_snapshot |
bijoy25_interspeech | Multi-Teacher Language-Aware Knowledge Distillation for Multilingual Speech Emotion Recognition | [
"Mehedi Hasan Bijoy",
"Dejan Porjazovski",
"Tamás Grósz",
"Mikko Kurimo"
] | https://www.isca-archive.org/interspeech_2025/bijoy25_interspeech.html | https://www.isca-archive.org/interspeech_2025/bijoy25_interspeech.pdf | 10.21437/Interspeech.2025-418 | 146-150 | @inproceedings{bijoy25_interspeech,
title = {{Multi-Teacher Language-Aware Knowledge Distillation for Multilingual Speech Emotion Recognition}},
author = {Mehedi Hasan Bijoy and Dejan Porjazovski and Tamás Grósz and Mikko Kurimo},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {146... | Speech Emotion Recognition (SER) is crucial for improving human-computer interaction. Despite strides in monolingual SER, extending them to build a multilingual system remains challenging. Our goal is to train a single model capable of multilingual SER by distilling knowledge from multiple teacher models. To address th... | 2506.08717 | title_snapshot |
gong25b_interspeech | Learning More with Less: Self-Supervised Approaches forLow-Resource Speech Emotion Recognition | [
"Ziwei Gong",
"Pengyuan Shi",
"Kaan Donbekci",
"Lin Ai",
"Run Chen",
"David Sasu",
"Zehui Wu",
"Julia Hirschberg"
] | https://www.isca-archive.org/interspeech_2025/gong25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/gong25b_interspeech.pdf | 10.21437/Interspeech.2025-1006 | 151-155 | @inproceedings{gong25b_interspeech,
title = {{Learning More with Less: Self-Supervised Approaches forLow-Resource Speech Emotion Recognition}},
author = {Ziwei Gong and Pengyuan Shi and Kaan Donbekci and Lin Ai and Run Chen and David Sasu and Zehui Wu and Julia Hirschberg},
year = {2025},
booktitle ... | Speech Emotion Recognition (SER) has seen significant progress with deep learning, yet remains challenging for Low-Resource Languages (LRLs) due to the scarcity of annotated data. In this work, we explore unsupervised learning to improve SER in low-resource settings. Specifically, we investigate contrastive learning (C... | 2506.02059 | title_judge |
ren25_interspeech | Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model | [
"Yong Ren",
"Chenxing Li",
"Le Xu",
"Hao Gu",
"Duzhen Zhang",
"Yujie Chen",
"Manjie Xu",
"Ruibo Fu",
"Shan Yang",
"Dong Yu"
] | https://www.isca-archive.org/interspeech_2025/ren25_interspeech.html | https://www.isca-archive.org/interspeech_2025/ren25_interspeech.pdf | 10.21437/Interspeech.2025-190 | 156-160 | @inproceedings{ren25_interspeech,
title = {{Hearing from Silence: Reasoning Audio Descriptions from Silent Videos via Vision-Language Model}},
author = {Yong Ren and Chenxing Li and Le Xu and Hao Gu and Duzhen Zhang and Yujie Chen and Manjie Xu and Ruibo Fu and Shan Yang and Dong Yu},
year = {2025},
... | Humans can intuitively infer sounds from silent videos, but whether multimodal large language models can perform modal-mismatch reasoning without accessing target modalities remains relatively unexplored. Current text-assisted-video-to-audio (VT2A) methods excel in video foley tasks but struggle to acquire audio descri... | 2505.13062 | title_snapshot |
xu25j_interspeech | Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning | [
"Le Xu",
"Chenxing Li",
"Yong Ren",
"Yujie Chen",
"Yu Gu",
"Ruibo Fu",
"Shan Yang",
"Dong Yu"
] | https://www.isca-archive.org/interspeech_2025/xu25j_interspeech.html | https://www.isca-archive.org/interspeech_2025/xu25j_interspeech.pdf | 10.21437/Interspeech.2025-1593 | 161-165 | @inproceedings{xu25j_interspeech,
title = {{Mitigating Audiovisual Mismatch in Visual-Guide Audio Captioning}},
author = {Le Xu and Chenxing Li and Yong Ren and Yujie Chen and Yu Gu and Ruibo Fu and Shan Yang and Dong Yu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {161--165},
... | Current vision-guided audio captioning systems frequently fail to address audiovisual misalignment in real-world scenarios, such as dubbed content or off-screen sounds. To bridge this critical gap, we present an entropy-aware gated fusion framework that dynamically modulates visual information flow through cross-modal ... | 2505.22045 | title_snapshot |
nguyen25d_interspeech | ViCocktail: Automated Multi-Modal Data Collection for Vietnamese Audio-Visual Speech Recognition | [
"Thai-Binh Nguyen",
"Thi Van Nguyen",
"Quoc Truong Do",
"Chi Mai Luong"
] | https://www.isca-archive.org/interspeech_2025/nguyen25d_interspeech.html | https://www.isca-archive.org/interspeech_2025/nguyen25d_interspeech.pdf | 10.21437/Interspeech.2025-1559 | 166-170 | @inproceedings{nguyen25d_interspeech,
title = {{ViCocktail: Automated Multi-Modal Data Collection for Vietnamese Audio-Visual Speech Recognition}},
author = {Thai-Binh Nguyen and Thi Van Nguyen and Quoc Truong Do and Chi Mai Luong},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {166... | Audio-Visual Speech Recognition (AVSR) has gained significant attention recently due to its robustness against noise, which often challenges conventional speech recognition systems that rely solely on audio features. Despite this advantage, AVSR models remain limited by the scarcity of extensive datasets, especially fo... | 2506.04635 | title_snapshot |
wu25e_interspeech | GALAXY: A Large-Scale Open-Domain Dataset for Multimodal Learning | [
"Yihan Wu",
"Yichen Lu",
"Yijing Chen",
"Jiaqi Song",
"William Chen",
"Ruihua Song",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2025/wu25e_interspeech.html | https://www.isca-archive.org/interspeech_2025/wu25e_interspeech.pdf | 10.21437/Interspeech.2025-776 | 171-175 | @inproceedings{wu25e_interspeech,
title = {{GALAXY: A Large-Scale Open-Domain Dataset for Multimodal Learning}},
author = {Yihan Wu and Yichen Lu and Yijing Chen and Jiaqi Song and William Chen and Ruihua Song and Shinji Watanabe},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {171-... | Humans naturally use multimodal information, with vision, speech, and text working together to understand the world and solve problems. For artificial intelligence to achieve human-level capability, it must process multimodal information in a similar manner. However, there is a lack of large-scale open-domain datasets ... | null | null |
peng25b_interspeech | FD-Bench: A Full-Duplex Benchmarking Pipeline Designed for Full Duplex Spoken Dialogue Systems | [
"Yizhou Peng",
"Yi-Wen Chao",
"Dianwen Ng",
"Yukun Ma",
"Chongjia Ni",
"Bin Ma",
"Eng Siong Chng"
] | https://www.isca-archive.org/interspeech_2025/peng25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/peng25b_interspeech.pdf | 10.21437/Interspeech.2025-739 | 176-180 | @inproceedings{peng25b_interspeech,
title = {{FD-Bench: A Full-Duplex Benchmarking Pipeline Designed for Full Duplex Spoken Dialogue Systems}},
author = {Yizhou Peng and Yi-Wen Chao and Dianwen Ng and Yukun Ma and Chongjia Ni and Bin Ma and Eng Siong Chng},
year = {2025},
booktitle = {{Interspeech 2... | Full-duplex spoken dialogue systems (FDSDS) enable more natural humanâmachine interactions by allowing real-time user interruptions and backchanneling, compared to traditional SDS that rely on turn-taking. However, existing benchmarks lack metrics for FD scenes, e.g., evaluating model performance during user interrup... | 2507.19040 | title_snapshot |
inoue25_interspeech | PersonaTAB: Predicting Personality Traits using Textual, Acoustic, and Behavioral Cues in Fully-Duplex Speech Dialogs | [
"Sho Inoue",
"Shuai Wang",
"Haizhou Li"
] | https://www.isca-archive.org/interspeech_2025/inoue25_interspeech.html | https://www.isca-archive.org/interspeech_2025/inoue25_interspeech.pdf | 10.21437/Interspeech.2025-80 | 181-185 | @inproceedings{inoue25_interspeech,
title = {{PersonaTAB: Predicting Personality Traits using Textual, Acoustic, and Behavioral Cues in Fully-Duplex Speech Dialogs}},
author = {Sho Inoue and Shuai Wang and Haizhou Li},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {181--185},
doi ... | Despite significant progress in neural spoken dialog systems, personality-aware conversation agents---capable of adapting behavior based on personalities---remain underexplored due to the absence of personality annotations in speech datasets. We propose a pipeline that preprocesses raw audio recordings to create a dial... | 2505.14356 | title_snapshot |
dong25c_interspeech | FFD: Fine-Finger Diffusion Model for Music to Fine-grained Finger Dance Generation | [
"Boya Dong",
"Wentao Lei",
"Li Liu"
] | https://www.isca-archive.org/interspeech_2025/dong25c_interspeech.html | https://www.isca-archive.org/interspeech_2025/dong25c_interspeech.pdf | 10.21437/Interspeech.2025-1105 | 186-190 | @inproceedings{dong25c_interspeech,
title = {{FFD: Fine-Finger Diffusion Model for Music to Fine-grained Finger Dance Generation}},
author = {Boya Dong and Wentao Lei and Li Liu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {186--190},
doi = {10.21437/Interspeech.2025-1105... | Finger dance is an emerging social media trend using finger gesture motions for expression. Music to finger dance generation is challenging due to its fine-grained movements. Existing music-driven methods often fail to model subtle finger motions, yielding poor performances. We propose Fine-Finger Diffusion (FFD), the ... | null | null |
xu25_interspeech | Towards Diverse and Efficient Audio Captioning via Diffusion Models | [
"Manjie Xu",
"Chenxing Li",
"Yong Ren",
"Xinyi Tu",
"Ruibo Fu",
"Wei Liang",
"Dong Yu"
] | https://www.isca-archive.org/interspeech_2025/xu25_interspeech.html | https://www.isca-archive.org/interspeech_2025/xu25_interspeech.pdf | 10.21437/Interspeech.2025-79 | 191-195 | @inproceedings{xu25_interspeech,
title = {{Towards Diverse and Efficient Audio Captioning via Diffusion Models}},
author = {Manjie Xu and Chenxing Li and Yong Ren and Xinyi Tu and Ruibo Fu and Wei Liang and Dong Yu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {191--195},
doi ... | We introduce Diffusion-based Audio Captioning (DAC), a non-autoregressive diffusion model tailored for diverse and efficient audio captioning. Although existing captioning models relying on language backbones have achieved remarkable success in various captioning tasks, their insufficient performance in terms of genera... | 2409.09401 | title_snapshot |
sofer25_interspeech | Pull It Together: Reducing the Modality Gap in Contrastive Learning | [
"Amit Sofer",
"Yoav Goldman",
"Shlomo E. Chazan"
] | https://www.isca-archive.org/interspeech_2025/sofer25_interspeech.html | https://www.isca-archive.org/interspeech_2025/sofer25_interspeech.pdf | 10.21437/Interspeech.2025-1664 | 196-200 | @inproceedings{sofer25_interspeech,
title = {{Pull It Together: Reducing the Modality Gap in Contrastive Learning}},
author = {Amit Sofer and Yoav Goldman and Shlomo E. Chazan},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {196--200},
doi = {10.21437/Interspeech.2025-1664},... | Contrastive learning has become a powerful strategy for aligning different modalities in a shared embedding space. Contrastive LanguageâImage Pre-training (CLIP) has achieved remarkable performance across various downstream tasks. This methodology has been extended to the audio-text domain through Contrastive Languag... | null | null |
yin25_interspeech | EnvSDD: Benchmarking Environmental Sound Deepfake Detection | [
"Han Yin",
"Yang Xiao",
"Rohan Kumar Das",
"Jisheng Bai",
"Haohe Liu",
"Wenwu Wang",
"Mark D Plumbley"
] | https://www.isca-archive.org/interspeech_2025/yin25_interspeech.html | https://www.isca-archive.org/interspeech_2025/yin25_interspeech.pdf | 10.21437/Interspeech.2025-1143 | 201-205 | @inproceedings{yin25_interspeech,
title = {{EnvSDD: Benchmarking Environmental Sound Deepfake Detection}},
author = {Han Yin and Yang Xiao and Rohan Kumar Das and Jisheng Bai and Haohe Liu and Wenwu Wang and Mark D Plumbley},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {201--205},... | Audio generation systems now create very realistic soundscapes that can enhance media production, but also pose potential risks. Several studies have examined deepfakes in speech or singing voice. However, environmental sounds have different characteristics, which may make methods for detecting speech and singing deepf... | 2505.19203 | title_snapshot |
fucci25_interspeech | Echoes of Phonetics: Unveiling Relevant Acoustic Cues for ASR via Feature Attribution | [
"Dennis Fucci",
"Marco Gaido",
"Matteo Negri",
"Mauro Cettolo",
"Luisa Bentivogli"
] | https://www.isca-archive.org/interspeech_2025/fucci25_interspeech.html | https://www.isca-archive.org/interspeech_2025/fucci25_interspeech.pdf | 10.21437/Interspeech.2025-918 | 206-210 | @inproceedings{fucci25_interspeech,
title = {{Echoes of Phonetics: Unveiling Relevant Acoustic Cues for ASR via Feature Attribution}},
author = {Dennis Fucci and Marco Gaido and Matteo Negri and Mauro Cettolo and Luisa Bentivogli},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {206... | Despite significant advances in ASR, the specific acoustic cues models rely on remain unclear. Prior studies have examined such cues on a limited set of phonemes and outdated models. In this work, we apply a feature attribution technique to identify the relevant acoustic cues for a modern Conformer-based ASR system. By... | 2506.02181 | title_snapshot |
bolanos25_interspeech | Benchmarking Time-localized Explanations for Audio Classification Models | [
"Cecilia Bolaños",
"Leonardo Pepino",
"Martin Meza",
"Luciana Ferrer"
] | https://www.isca-archive.org/interspeech_2025/bolanos25_interspeech.html | https://www.isca-archive.org/interspeech_2025/bolanos25_interspeech.pdf | 10.21437/Interspeech.2025-288 | 211-215 | @inproceedings{bolanos25_interspeech,
title = {{Benchmarking Time-localized Explanations for Audio Classification Models}},
author = {Cecilia Bolaños and Leonardo Pepino and Martin Meza and Luciana Ferrer},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {211--215},
doi = {10... | Most modern approaches for audio processing are opaque, in the sense that they do not provide an explanation for their decisions. For this reason, various methods have been proposed to explain the outputs generated by these models. Good explanations can result in interesting insights about the data or the model, as wel... | 2506.04391 | title_snapshot |
chang25b_interspeech | Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds | [
"Andrew Chang",
"Yike Li",
"Iran R. Roman",
"David Poeppel"
] | https://www.isca-archive.org/interspeech_2025/chang25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/chang25b_interspeech.pdf | 10.21437/Interspeech.2025-1021 | 216-220 | @inproceedings{chang25b_interspeech,
title = {{Spectrotemporal Modulation: Efficient and Interpretable Feature Representation for Classifying Speech, Music, and Environmental Sounds}},
author = {Andrew Chang and Yike Li and Iran R. Roman and David Poeppel},
year = {2025},
booktitle = {{Interspeech 2... | Audio DNNs have demonstrated impressive performance on various machine listening tasks; however, most of their representations are computationally costly and uninterpretable, leaving room for optimization. Here, we propose a novel approach centered on spectrotemporal modulation (STM) features, a signal processing metho... | 2505.23509 | title_snapshot |
onda25_interspeech | Discrete Tokens Exhibit Interlanguage Speech Intelligibility Benefit: an Analytical Study Towards Accent-robust ASR Only with Native Speech Data | [
"Kentaro Onda",
"Keisuke Imoto",
"Satoru Fukayama",
"Daisuke Saito",
"Nobuaki Minematsu"
] | https://www.isca-archive.org/interspeech_2025/onda25_interspeech.html | https://www.isca-archive.org/interspeech_2025/onda25_interspeech.pdf | 10.21437/Interspeech.2025-577 | 221-225 | @inproceedings{onda25_interspeech,
title = {{Discrete Tokens Exhibit Interlanguage Speech Intelligibility Benefit: an Analytical Study Towards Accent-robust ASR Only with Native Speech Data}},
author = {Kentaro Onda and Keisuke Imoto and Satoru Fukayama and Daisuke Saito and Nobuaki Minematsu},
year =... | In this study, we gained insight that contributes to achieving accent-robust ASR using only native speech data. In human perception of non-native speech, the phenomenon known as "interlanguage speech intelligibility beneï¬t" (ISIB) is observed, where non-native listeners who share the native language with the speaker ... | 2505.16182 | title_snapshot |
ashihara25_interspeech | Analysis of Semantic and Acoustic Token Variability Across Speech, Music, and Audio Domains | [
"Takanori Ashihara",
"Marc Delcroix",
"Tsubasa Ochiai",
"Kohei Matsuura",
"Shota Horiguchi"
] | https://www.isca-archive.org/interspeech_2025/ashihara25_interspeech.html | https://www.isca-archive.org/interspeech_2025/ashihara25_interspeech.pdf | 10.21437/Interspeech.2025-945 | 226-230 | @inproceedings{ashihara25_interspeech,
title = {{Analysis of Semantic and Acoustic Token Variability Across Speech, Music, and Audio Domains}},
author = {Takanori Ashihara and Marc Delcroix and Tsubasa Ochiai and Kohei Matsuura and Shota Horiguchi},
year = {2025},
booktitle = {{Interspeech 2025}},
... | Techniques for discrete audio representation, which convert an audio signal into a sequence of audio tokens using neural audio codecs or self-supervised speech models, have gained attention for offering the possibility of modeling audio with large language models (LM) efficiently. While these audio tokens have been stu... | null | null |
getman25_interspeech | Is your model big enough? Training and interpreting large-scale monolingual speech foundation models | [
"Yaroslav Getman",
"Tamás Grósz",
"Tommi Lehtonen",
"Mikko Kurimo"
] | https://www.isca-archive.org/interspeech_2025/getman25_interspeech.html | https://www.isca-archive.org/interspeech_2025/getman25_interspeech.pdf | 10.21437/Interspeech.2025-46 | 231-235 | @inproceedings{getman25_interspeech,
title = {{Is your model big enough? Training and interpreting large-scale monolingual speech foundation models}},
author = {Yaroslav Getman and Tamás Grósz and Tommi Lehtonen and Mikko Kurimo},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {231... | Self-supervised learning has been widely used in developing speech foundation models. Most languages, however, are only represented in multilingual foundations. We introduce monolingual self-supervised foundation models pre-trained on more than 150,000 hours of Finnish speech and propose a new interpretation technique ... | null | null |
patakis25_interspeech | Semantic-Aware Interpretable Multimodal Music Auto-Tagging | [
"Andreas Patakis",
"Vassilis Lyberatos",
"Spyridon Kantarelis",
"Edmund Dervakos",
"Giorgos Stamou"
] | https://www.isca-archive.org/interspeech_2025/patakis25_interspeech.html | https://www.isca-archive.org/interspeech_2025/patakis25_interspeech.pdf | 10.21437/Interspeech.2025-2574 | 236-240 | @inproceedings{patakis25_interspeech,
title = {{Semantic-Aware Interpretable Multimodal Music Auto-Tagging}},
author = {Andreas Patakis and Vassilis Lyberatos and Spyridon Kantarelis and Edmund Dervakos and Giorgos Stamou},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {236--240},
... | Music auto-tagging is essential for organizing and discovering music in extensive digital libraries. While foundation models achieve exceptional performance in this domain, their outputs often lack interpretability, limiting trust and usability for researchers and end-users alike. In this work, we present an interpreta... | 2505.17233 | title_snapshot |
ersoy25_interspeech | From Words to Waves: Analyzing Concept Formation in Speech and Text-Based Foundation Models | [
"Asim Ersoy",
"Basel Ahmad Mousi",
"Shammur Absar Chowdhury",
"Firoj Alam",
"Fahim I Dalvi",
"Nadir Durrani"
] | https://www.isca-archive.org/interspeech_2025/ersoy25_interspeech.html | https://www.isca-archive.org/interspeech_2025/ersoy25_interspeech.pdf | 10.21437/Interspeech.2025-2180 | 241-245 | @inproceedings{ersoy25_interspeech,
title = {{From Words to Waves: Analyzing Concept Formation in Speech and Text-Based Foundation Models}},
author = {Asim Ersoy and Basel Ahmad Mousi and Shammur Absar Chowdhury and Firoj Alam and Fahim I Dalvi and Nadir Durrani},
year = {2025},
booktitle = {{Inters... | The emergence of large language models has demonstrated that systems trained solely on text can acquire extensive world knowledge, develop reasoning capabilities, and internalize abstract semantic concepts - showcasing properties that can be associated with general intelligence. This raises an intriguing question: Do s... | 2506.01133 | title_snapshot |
meng25b_interspeech | Effective Context in Neural Speech Models | [
"Yen Meng",
"Sharon Goldwater",
"Hao Tang"
] | https://www.isca-archive.org/interspeech_2025/meng25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/meng25b_interspeech.pdf | 10.21437/Interspeech.2025-1932 | 246-250 | @inproceedings{meng25b_interspeech,
title = {{Effective Context in Neural Speech Models}},
author = {Yen Meng and Sharon Goldwater and Hao Tang},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {246--250},
doi = {10.21437/Interspeech.2025-1932},
issn = {2958-1796},
} | Modern neural speech models benefit from having longer context, and many approaches have been proposed to increase the maximum context a model can use. However, few have attempted to measure how much context these models actually use, i.e., the effective context. Here, we propose two approaches to measuring the effecti... | 2505.22487 | title_snapshot |
bentum25_interspeech | Word stress in self-supervised speech models: A cross-linguistic comparison | [
"Martijn Bentum",
"Louis ten Bosch",
"Tomas O. Lentz"
] | https://www.isca-archive.org/interspeech_2025/bentum25_interspeech.html | https://www.isca-archive.org/interspeech_2025/bentum25_interspeech.pdf | 10.21437/Interspeech.2025-106 | 251-255 | @inproceedings{bentum25_interspeech,
title = {{Word stress in self-supervised speech models: A cross-linguistic comparison}},
author = {Martijn Bentum and Louis {ten Bosch} and Tomas O. Lentz},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {251--255},
doi = {10.21437/Intersp... | In this paper we study word stress representations learned by self-supervised speech models (S3M), specifically the Wav2vec 2.0 model. We investigate the S3M representations of word stress for five different languages: Three languages with variable or lexical stress (Dutch, English and German) and two languages with fi... | 2507.04738 | title_snapshot |
deheerkloots25_interspeech | What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training | [
"Marianne de Heer Kloots",
"Hosein Mohebbi",
"Charlotte Pouw",
"Gaofei Shen",
"Willem Zuidema",
"Martijn Bentum"
] | https://www.isca-archive.org/interspeech_2025/deheerkloots25_interspeech.html | https://www.isca-archive.org/interspeech_2025/deheerkloots25_interspeech.pdf | 10.21437/Interspeech.2025-1526 | 256-260 | @inproceedings{deheerkloots25_interspeech,
title = {{What do self-supervised speech models know about Dutch? Analyzing advantages of language-specific pre-training}},
author = {Marianne {de Heer Kloots} and Hosein Mohebbi and Charlotte Pouw and Gaofei Shen and Willem Zuidema and Martijn Bentum},
year ... | How language-specific are speech representations learned by self-supervised models? Existing work has shown that a range of linguistic features can be successfully decoded from end-to-end models trained only on speech recordings. However, it's less clear to what extent pre-training on specific languages improves langua... | 2506.00981 | title_snapshot |
huo25_interspeech | Iterative Refinement, Not Training Objective, Makes HuBERT Behave Differently from wav2vec 2.0 | [
"Robin Huo",
"Ewan Dunbar"
] | https://www.isca-archive.org/interspeech_2025/huo25_interspeech.html | https://www.isca-archive.org/interspeech_2025/huo25_interspeech.pdf | 10.21437/Interspeech.2025-514 | 261-265 | @inproceedings{huo25_interspeech,
title = {{Iterative Refinement, Not Training Objective, Makes HuBERT Behave Differently from wav2vec 2.0}},
author = {Robin Huo and Ewan Dunbar},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {261--265},
doi = {10.21437/Interspeech.2025-514}... | Self-supervised models for speech representation learning now see widespread use for their versatility and performance on downstream tasks, but the effect of model architecture on the linguistic information learned in their representations remains under-studied. This study investigates two such models, HuBERT and wav2v... | 2508.08110 | title_snapshot |
shen25b_interspeech | On the reliability of feature attribution methods for speech classification | [
"Gaofei Shen",
"Hosein Mohebbi",
"Arianna Bisazza",
"Afra Alishahi",
"Grzegorz Chrupala"
] | https://www.isca-archive.org/interspeech_2025/shen25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/shen25b_interspeech.pdf | 10.21437/Interspeech.2025-1911 | 266-270 | @inproceedings{shen25b_interspeech,
title = {{On the reliability of feature attribution methods for speech classification}},
author = {Gaofei Shen and Hosein Mohebbi and Arianna Bisazza and Afra Alishahi and Grzegorz Chrupala},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {266--270... | As the capabilities of large-scale pre-trained models evolve, understanding the determinants of their outputs becomes more important. Feature attribution aims to reveal which parts of the input elements contribute the most to model outputs. In speech processing, the unique characteristics of the input signal make the a... | 2505.16406 | title_snapshot |
leschly25_interspeech | An Exploration of Interpretable Deep Learning Models for the Assessment of Mild Cognitive Impairment | [
"Emma Cathrine Liisborg Leschly",
"Oliver Roesler",
"Michael Neumann",
"Jackson Liscombe",
"Abhishek Hosamath",
"Lakshmi Arbatti",
"Line H. Clemmensen",
"Melanie Ganz",
"Vikram Ramanarayanan"
] | https://www.isca-archive.org/interspeech_2025/leschly25_interspeech.html | https://www.isca-archive.org/interspeech_2025/leschly25_interspeech.pdf | 10.21437/Interspeech.2025-2225 | 271-275 | @inproceedings{leschly25_interspeech,
title = {{An Exploration of Interpretable Deep Learning Models for the Assessment of Mild Cognitive Impairment}},
author = {Emma Cathrine Liisborg Leschly and Oliver Roesler and Michael Neumann and Jackson Liscombe and Abhishek Hosamath and Lakshmi Arbatti and Line H. Cl... | Early diagnosis and intervention are crucial for mild cognitive impairment (MCI), as MCI often progresses to more severe neurodegenerative conditions. In this study, we explore utilizing deep learning for MCI detection without loosing the interpretability provided by feature-based approaches. We used a dataset consisti... | null | null |
freisinger25_interspeech | Towards Multi-Level Transcript Segmentation: LoRA Fine-Tuning for Table-of-Contents Generation | [
"Steffen Freisinger",
"Philipp Seeberger",
"Thomas Ranzenberger",
"Tobias Bocklet",
"Korbinian Riedhammer"
] | https://www.isca-archive.org/interspeech_2025/freisinger25_interspeech.html | https://www.isca-archive.org/interspeech_2025/freisinger25_interspeech.pdf | 10.21437/Interspeech.2025-2792 | 276-280 | @inproceedings{freisinger25_interspeech,
title = {{Towards Multi-Level Transcript Segmentation: LoRA Fine-Tuning for Table-of-Contents Generation}},
author = {Steffen Freisinger and Philipp Seeberger and Thomas Ranzenberger and Tobias Bocklet and Korbinian Riedhammer},
year = {2025},
booktitle = {{I... | Segmenting speech transcripts into thematic sections benefits both downstream processing and users who depend on written text for accessibility. We introduce a novel approach to hierarchical topic segmentation in transcripts, generating multi-level tables of contents that capture both topic and subtopic boundaries. We ... | 2601.02128 | title_snapshot |
kano25_interspeech | Pick and Summarize: Integrating Extractive and Abstractive Speech Summarization | [
"Takatomo Kano",
"Atsunori Ogawa",
"Marc Delcroix",
"Ryo Fukuda",
"William Chen",
"Shinji Watanabe"
] | https://www.isca-archive.org/interspeech_2025/kano25_interspeech.html | https://www.isca-archive.org/interspeech_2025/kano25_interspeech.pdf | 10.21437/Interspeech.2025-1341 | 281-285 | @inproceedings{kano25_interspeech,
title = {{Pick and Summarize: Integrating Extractive and Abstractive Speech Summarization}},
author = {Takatomo Kano and Atsunori Ogawa and Marc Delcroix and Ryo Fukuda and William Chen and Shinji Watanabe},
year = {2025},
booktitle = {{Interspeech 2025}},
pages ... | Speech summarization condenses long speech while preserving essential content. Recently, there has been growing interest in end-to-end (E2E) abstractive speech summarization, which directly generates a text summary from spoken input. However, abstractive summarization of lengthy speech sequences presents challenges, su... | null | null |
istaiteh25_interspeech | Beyond Similarity Scoring: Detecting Entailment and Contradiction in Multilingual and Multimodal Contexts | [
"Othman Istaiteh",
"Salima Mdhaffar",
"Yannick Estève"
] | https://www.isca-archive.org/interspeech_2025/istaiteh25_interspeech.html | https://www.isca-archive.org/interspeech_2025/istaiteh25_interspeech.pdf | 10.21437/Interspeech.2025-1825 | 286-290 | @inproceedings{istaiteh25_interspeech,
title = {{Beyond Similarity Scoring: Detecting Entailment and Contradiction in Multilingual and Multimodal Contexts}},
author = {Othman Istaiteh and Salima Mdhaffar and Yannick Estève},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {286--290},... | Natural Language Inference (NLI) determines whether a hypothesis entails, contradicts, or is neutral with respect to a premise. While text-based NLI is well-studied, its multimodal and multilingual extension remains underexplored. This paper introduces a multilingual, multimodal NLI framework classifying entailment, co... | null | null |
gong25c_interspeech | Comparison-Based Automatic Evaluation for Meeting Summarization | [
"Ziwei Gong",
"Lin Ai",
"Harsh Deshpande",
"Alexander Johnson",
"Emmy Phung",
"Zehui Wu",
"Ahmad Emami",
"Julia Hirschberg"
] | https://www.isca-archive.org/interspeech_2025/gong25c_interspeech.html | https://www.isca-archive.org/interspeech_2025/gong25c_interspeech.pdf | 10.21437/Interspeech.2025-2771 | 291-295 | @inproceedings{gong25c_interspeech,
title = {{Comparison-Based Automatic Evaluation for Meeting Summarization}},
author = {Ziwei Gong and Lin Ai and Harsh Deshpande and Alexander Johnson and Emmy Phung and Zehui Wu and Ahmad Emami and Julia Hirschberg},
year = {2025},
booktitle = {{Interspeech 2025}... | Large Language Models (LLMs) have spurred interest in automatic evaluation methods for summarization, offering a faster, more cost-effective alternative to human evaluation. However, existing methods often fall short when applied to complex tasks like long-context summarizations and dialogue-based meeting summarization... | 2409.10883 | title_judge |
lu25h_interspeech | Towards a dynamical model of transitions between fluent and stuttered speech | [
"Yijing Lu",
"Khalil Iskarous",
"Louis Goldstein"
] | https://www.isca-archive.org/interspeech_2025/lu25h_interspeech.html | https://www.isca-archive.org/interspeech_2025/lu25h_interspeech.pdf | 10.21437/Interspeech.2025-2320 | 310-314 | @inproceedings{lu25h_interspeech,
title = {{Towards a dynamical model of transitions between fluent and stuttered speech}},
author = {Yijing Lu and Khalil Iskarous and Louis Goldstein},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {310--314},
doi = {10.21437/Interspeech.202... | This paper introduces a dynamical systems framework for understanding stuttering, conceptualizing it as a qualitative shift in speech articulation driven by a single control parameter. Using a forced Duffing oscillator model, we demonstrate how variations in the excitation frequency can account for transitions between ... | null | null |
dindart25_interspeech | Study of vocal fold vibration using M-mode ultrasound: a proof of concept | [
"Juliette Dindart",
"Agnès Rouxel",
"Crystal Lin",
"Trung Kien Bui",
"Muriel Lefort",
"Claire Pillot-Loiseau",
"Christophe Trésallet",
"Frédérique Frouin"
] | https://www.isca-archive.org/interspeech_2025/dindart25_interspeech.html | https://www.isca-archive.org/interspeech_2025/dindart25_interspeech.pdf | 10.21437/Interspeech.2025-2091 | 315-319 | @inproceedings{dindart25_interspeech,
title = {{Study of vocal fold vibration using M-mode ultrasound: a proof of concept}},
author = {Juliette Dindart and Agnès Rouxel and Crystal Lin and Trung Kien Bui and Muriel Lefort and Claire Pillot-Loiseau and Christophe Trésallet and Frédérique Frouin},
year ... | Ultrasound has recently been suggested as an alternative to laryngoscopy for checking vocal fold movement after neck surgery. We propose to use M-mode ultrasound (MUS) to study vocal fold vibration in left and right hemilarynges. MUS is acquired along a 1D line in each hemilarynx for about 5 seconds during vowel phonat... | null | null |
lee25d_interspeech | Articulatory Feature Prediction from Surface EMG during Speech Production | [
"Jihwan Lee",
"Kevin Huang",
"Kleanthis Avramidis",
"Simon Pistrosch",
"Monica Gonzalez-Machorro",
"Yoonjeong Lee",
"Björn W. Schuller",
"Louis Goldstein",
"Shrikanth Narayanan"
] | https://www.isca-archive.org/interspeech_2025/lee25d_interspeech.html | https://www.isca-archive.org/interspeech_2025/lee25d_interspeech.pdf | 10.21437/Interspeech.2025-565 | 320-324 | @inproceedings{lee25d_interspeech,
title = {{Articulatory Feature Prediction from Surface EMG during Speech Production}},
author = {Jihwan Lee and Kevin Huang and Kleanthis Avramidis and Simon Pistrosch and Monica Gonzalez-Machorro and Yoonjeong Lee and Björn W. Schuller and Louis Goldstein and Shrikanth Na... | We present a model for predicting articulatory features from surface electromyography (EMG) signals during speech production. The proposed model integrates convolutional layers and a Transformer block, followed by separate predictors for articulatory features. Our approach achieves a high prediction correlation of appr... | 2505.13814 | title_snapshot |
tabatabaee25b_interspeech | Enhancing Acoustic-to-Articulatory Speech Inversion by Incorporating Nasality | [
"Saba Tabatabaee",
"Suzanne Boyce",
"Liran Oren",
"Mark Tiede",
"Carol Espy-Wilson"
] | https://www.isca-archive.org/interspeech_2025/tabatabaee25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/tabatabaee25b_interspeech.pdf | 10.21437/Interspeech.2025-2387 | 325-329 | @inproceedings{tabatabaee25b_interspeech,
title = {{Enhancing Acoustic-to-Articulatory Speech Inversion by Incorporating Nasality}},
author = {Saba Tabatabaee and Suzanne Boyce and Liran Oren and Mark Tiede and Carol Espy-Wilson},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {325--... | Speech is produced through the coordination of vocal tract constricting organs: lips, tongue, velum, and glottis. Previous works developed a Speech Inversion (SI) systems to recover acoustic-to-articulatory mappings for lip and tongue constrictions, called oral tract variables (TVs), which were later enhanced by includ... | 2506.09231 | title_snapshot |
stein25_interspeech | Modeling Probabilistic Reduction using Information Theory and Naive Discriminative Learning | [
"Anna Stein",
"Kevin Tang"
] | https://www.isca-archive.org/interspeech_2025/stein25_interspeech.html | https://www.isca-archive.org/interspeech_2025/stein25_interspeech.pdf | 10.21437/Interspeech.2025-2246 | 330-334 | @inproceedings{stein25_interspeech,
title = {{Modeling Probabilistic Reduction using Information Theory and Naive Discriminative Learning}},
author = {Anna Stein and Kevin Tang},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {330--334},
doi = {10.21437/Interspeech.2025-2246}... | This study compares probabilistic predictors based on information theory with Naive Discriminative Learning (NDL) predictors in modeling acoustic word duration, focusing on probabilistic reduction. We examine three models using the Buckeye corpus: one with NDL-derived predictors using information-theoretic formulas, on... | 2506.09641 | title_snapshot |
malisz25_interspeech | Contextual predictability effects on acoustic distinctiveness in read Polish speech | [
"Zofia Malisz",
"Jan Foremski",
"MagÅorzata Kul"
] | https://www.isca-archive.org/interspeech_2025/malisz25_interspeech.html | https://www.isca-archive.org/interspeech_2025/malisz25_interspeech.pdf | 10.21437/Interspeech.2025-2256 | 335-339 | @inproceedings{malisz25_interspeech,
title = {{Contextual predictability effects on acoustic distinctiveness in read Polish speech}},
author = {Zofia Malisz and Jan Foremski and MagÅorzata Kul},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {335--339},
doi = {10.21437/Inter... | This paper examines how contextual predictability (surprisal) influences acoustic features in Polish speech using the PRODIS dataset. The study analyzes connected read speech from Wikipedia texts on history, politics, culture, and science, extracting surprisal values from a phoneme-based language model. Results show th... | null | null |
yuen25_interspeech | How do both phonological and syntactic complexity influence speech planning? | [
"Ivan Yuen",
"Katherine Demuth",
"Stefanie Shattuck-Hufnagel"
] | https://www.isca-archive.org/interspeech_2025/yuen25_interspeech.html | https://www.isca-archive.org/interspeech_2025/yuen25_interspeech.pdf | 10.21437/Interspeech.2025-236 | 340-343 | @inproceedings{yuen25_interspeech,
title = {{How do both phonological and syntactic complexity influence speech planning?}},
author = {Ivan Yuen and Katherine Demuth and Stefanie Shattuck-Hufnagel},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {340--343},
doi = {10.21437/In... | Wheeldon & Lahiri reported that speech initiation time (RT) was influenced by the phonological complexity of the initial prosodic word (PWd) in an immediate-production task, but by the number of PWds in a delayed-production task that enabled preplanning. Thus, different tasks are sensitive to different types of complex... | null | null |
xu25h_interspeech | When focus shapes the flow: prosodic restructuring in Mandarin complex nominals | [
"Anqi Xu",
"Yu-yin Hsu"
] | https://www.isca-archive.org/interspeech_2025/xu25h_interspeech.html | https://www.isca-archive.org/interspeech_2025/xu25h_interspeech.pdf | 10.21437/Interspeech.2025-1121 | 344-348 | @inproceedings{xu25h_interspeech,
title = {{When focus shapes the flow: prosodic restructuring in Mandarin complex nominals}},
author = {Anqi Xu and Yu-yin Hsu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {344--348},
doi = {10.21437/Interspeech.2025-1121},
issn = {... | While extensive studies have explored acoustic focus realization in Mandarin, little is known about how focus affects the prosodic phrasing of Mandarin complex nominals. This study examined how contrastive focus influences syllable duration of Mandarin numeral-classifier-noun phrases. Using a mini-dialogue paradigm, we... | null | null |
kakouros25_interspeech | Investigating the Impact of Word Informativeness on Speech Emotion Recognition | [
"Sofoklis Kakouros"
] | https://www.isca-archive.org/interspeech_2025/kakouros25_interspeech.html | https://www.isca-archive.org/interspeech_2025/kakouros25_interspeech.pdf | 10.21437/Interspeech.2025-740 | 349-353 | @inproceedings{kakouros25_interspeech,
title = {{Investigating the Impact of Word Informativeness on Speech Emotion Recognition}},
author = {Sofoklis Kakouros},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {349--353},
doi = {10.21437/Interspeech.2025-740},
issn = {29... | In emotion recognition from speech, a key challenge lies in identifying speech signal segments that carry the most relevant acoustic variations for discerning specific emotions. Traditional approaches compute functionals for features such as energy and F0 over entire sentences or longer speech portions, potentially mis... | 2506.02239 | title_snapshot |
shao25c_interspeech | Lexical stress affects lenition: The case of Italian palato-alveolar affricates | [
"Bowei Shao",
"Philipp Buech",
"Anne Hermes",
"Maria Giavazzi"
] | https://www.isca-archive.org/interspeech_2025/shao25c_interspeech.html | https://www.isca-archive.org/interspeech_2025/shao25c_interspeech.pdf | 10.21437/Interspeech.2025-1869 | 354-358 | @inproceedings{shao25c_interspeech,
title = {{Lexical stress affects lenition: The case of Italian palato-alveolar affricates}},
author = {Bowei Shao and Philipp Buech and Anne Hermes and Maria Giavazzi},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {354--358},
doi = {10.21... | The realization of palato-alveolar affricates in Italian varies regionally. While affricates have undergone deaffrication in Tuscan and southern varieties (/ËtÍ¡ÊeË.na/ â [ËÊeË.na]), northern varieties are traditionally described as retaining the affricate. We provide acoustic and articulatory (EMA) evidence o... | null | null |
birkholz25_interspeech | Evaluation of a model for sound radiation from the vocal tract wall | [
"Peter Birkholz",
"Tianyi Zhang"
] | https://www.isca-archive.org/interspeech_2025/birkholz25_interspeech.html | https://www.isca-archive.org/interspeech_2025/birkholz25_interspeech.pdf | 10.21437/Interspeech.2025-482 | 359-363 | @inproceedings{birkholz25_interspeech,
title = {{Evaluation of a model for sound radiation from the vocal tract wall}},
author = {Peter Birkholz and Tianyi Zhang},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {359--363},
doi = {10.21437/Interspeech.2025-482},
issn = ... | This study evaluated a simulation model for sound radiation from the vocal tract wall in the context of articulatory speech synthesis. In this model, the vocal tract is represented in terms of incremental contiguous tube sections, where the wall of each section reacts to the local sound pressure like a damped spring-ma... | null | null |
hopponen25_interspeech | FROST-EMA: Finnish and Russian Oral Speech Dataset of Electromagnetic Articulography Measurements with L1, L2 and Imitated L2 Accents | [
"Satu Hopponen",
"Tomi Kinnunen",
"Alexandre Nikolaev",
"Rosa González Hautamäki",
"Lauri Tavi",
"Einar Meister"
] | https://www.isca-archive.org/interspeech_2025/hopponen25_interspeech.html | https://www.isca-archive.org/interspeech_2025/hopponen25_interspeech.pdf | 10.21437/Interspeech.2025-1853 | 364-368 | @inproceedings{hopponen25_interspeech,
title = {{FROST-EMA: Finnish and Russian Oral Speech Dataset of Electromagnetic Articulography Measurements with L1, L2 and Imitated L2 Accents}},
author = {Satu Hopponen and Tomi Kinnunen and Alexandre Nikolaev and Rosa {González Hautamäki} and Lauri Tavi and Einar M... | We introduce a new FROST-EMA (Finnish and Russian Oral Speech Dataset of Electromagnetic Articulography) corpus. It consists of 18 bilingual speakers, who produced speech in their native language (L1), second language (L2), and imitated L2 (fake foreign accent). The new corpus enables research into language variability... | 2506.08981 | title_snapshot |
xiang25b_interspeech | Modeling Formant Dynamics in Mandarin /ai/: Effects of Speech Style and Speech Rate | [
"Yunzhuo Xiang",
"Jingyi Sun"
] | https://www.isca-archive.org/interspeech_2025/xiang25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/xiang25b_interspeech.pdf | 10.21437/Interspeech.2025-968 | 369-373 | @inproceedings{xiang25b_interspeech,
title = {{Modeling Formant Dynamics in Mandarin /ai/: Effects of Speech Style and Speech Rate}},
author = {Yunzhuo Xiang and Jingyi Sun},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {369--373},
doi = {10.21437/Interspeech.2025-968},
i... | This study examines the relationship between speech clarity and speech rate by modeling F1/F2 variation in the Mandarin diphthong /ai/ across different durations and speech styles. The corpus includes 20 hours of conversational and 6 hours of read speech. Vowel durations were manually verified, and formant values were ... | null | null |
qian25b_interspeech | Representation of Perceived Prosodic Similarity of Conversational Feedback | [
"Livia Qian",
"Carol Figueroa",
"Gabriel Skantze"
] | https://www.isca-archive.org/interspeech_2025/qian25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/qian25b_interspeech.pdf | 10.21437/Interspeech.2025-1771 | 374-378 | @inproceedings{qian25b_interspeech,
title = {{Representation of Perceived Prosodic Similarity of Conversational Feedback}},
author = {Livia Qian and Carol Figueroa and Gabriel Skantze},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {374--378},
doi = {10.21437/Interspeech.202... | Vocal feedback (e.g., 'mhm', 'yeah', 'okay') is an important component of spoken dialogue and is crucial to ensuring common ground in conversational systems. The exact meaning of such feedback is conveyed through both lexical and prosodic form. In this work, we investigate the perceived prosodic similarity of vocal fee... | 2505.13268 | title_snapshot |
niculescu25_interspeech | Prolongation in Romanian | [
"Oana Niculescu",
"Monica Vasileanu"
] | https://www.isca-archive.org/interspeech_2025/niculescu25_interspeech.html | https://www.isca-archive.org/interspeech_2025/niculescu25_interspeech.pdf | 10.21437/Interspeech.2025-2087 | 379-383 | @inproceedings{niculescu25_interspeech,
title = {{Prolongation in Romanian}},
author = {Oana Niculescu and Monica Vasileanu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {379--383},
doi = {10.21437/Interspeech.2025-2087},
issn = {2958-1796},
} | In this study we investigate segmental prolongation (PR) as a form of disfluent hesitation in a corpus of spontaneous Romanian monologues. A total of 3541 PRs were extracted from 216 minutes of speech pertaining to 4 native speakers (2 female, 2 male). In line with the methodology employed by previous corpus-studies on... | null | null |
bodur25_interspeech | Speech Reduction in French: The Relationship Between Vowel Space and Articulation Dynamics | [
"Kübra Bodur",
"Corinne Fredouille",
"Christine Meunier"
] | https://www.isca-archive.org/interspeech_2025/bodur25_interspeech.html | https://www.isca-archive.org/interspeech_2025/bodur25_interspeech.pdf | 10.21437/Interspeech.2025-1720 | 384-388 | @inproceedings{bodur25_interspeech,
title = {{Speech Reduction in French: The Relationship Between Vowel Space and Articulation Dynamics}},
author = {Kübra Bodur and Corinne Fredouille and Christine Meunier},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {384--388},
doi = {... | Reduction is an inherent characteristic of conversations, reflecting the dynamic adaptability of language. This study examined the link between vowel space and non-lexicalized reductions (NLR) in spontaneous French speech. The hypothesis posited that speakers with smaller vowel spaces - indicating centralized, less dis... | null | null |
batchelderschwab25_interspeech | Stress in Spoken and Whistled Greek | [
"Andre Batchelder-Schwab",
"Vasileios Michos",
"Jonathan Barnes"
] | https://www.isca-archive.org/interspeech_2025/batchelderschwab25_interspeech.html | https://www.isca-archive.org/interspeech_2025/batchelderschwab25_interspeech.pdf | 10.21437/Interspeech.2025-2203 | 389-393 | @inproceedings{batchelderschwab25_interspeech,
title = {{Stress in Spoken and Whistled Greek}},
author = {Andre Batchelder-Schwab and Vasileios Michos and Jonathan Barnes},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {389--393},
doi = {10.21437/Interspeech.2025-2203},
is... | This paper presents experimental results testing vowels of a register of whistled Greek called Sfyria. We used a frame sentence and minimal pairs. Each participant performed the experiment in whistled Greek, then again in spoken Greek. The results suggest that all five vowel qualities of Greek remain distinct in the wh... | null | null |
krzywdziak25_interspeech | Leveraging Text and Speech Processing for Suicide Risk Classification in Chinese Adolescents | [
"Justyna Krzywdziak",
"BartÅomiej Eljasiak",
"Joanna StÄpieÅ",
"MichaÅ ÅwiÄ
tek",
"Agnieszka Pruszek"
] | https://www.isca-archive.org/interspeech_2025/krzywdziak25_interspeech.html | https://www.isca-archive.org/interspeech_2025/krzywdziak25_interspeech.pdf | 10.21437/Interspeech.2025-2755 | 394-398 | @inproceedings{krzywdziak25_interspeech,
title = {{Leveraging Text and Speech Processing for Suicide Risk Classification in Chinese Adolescents}},
author = {Justyna Krzywdziak and BartÅomiej Eljasiak and Joanna StÄpieÅ and MichaÅ ÅwiÄ
tek and Agnieszka Pruszek},
year = {2025},
booktitle = {{Int... | The increasing prevalence of depression among young people is a growing global concern. Early detection and intervention are crucial, making the development of effective diagnostic tools essential. This work explores the use of advanced text and speech processing techniques to classify suicide risk within the context o... | null | null |
wu25_interspeech | The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents | [
"Wen Wu",
"Ziyun Cui",
"Chang Lei",
"Yinan Duan",
"Diyang Qu",
"Ji Wu",
"Bowen Zhou",
"Runsen Chen",
"Chao Zhang"
] | https://www.isca-archive.org/interspeech_2025/wu25_interspeech.html | https://www.isca-archive.org/interspeech_2025/wu25_interspeech.pdf | 10.21437/Interspeech.2025-124 | 399-403 | @inproceedings{wu25_interspeech,
title = {{The 1st SpeechWellness Challenge: Detecting Suicide Risk Among Adolescents}},
author = {Wen Wu and Ziyun Cui and Chang Lei and Yinan Duan and Diyang Qu and Ji Wu and Bowen Zhou and Runsen Chen and Chao Zhang},
year = {2025},
booktitle = {{Interspeech 2025}}... | The 1st SpeechWellness Challenge (SW1) aims to advance methods for detecting current suicide risk in adolescents using speech analysis techniques. Suicide among adolescents is a critical public health issue globally. Early detection of suicidal tendencies can lead to timely intervention and potentially save lives. Trad... | 2501.06474 | title_snapshot |
gao25e_interspeech | Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection | [
"Yifan Gao",
"Jiao Fu",
"Long Guo",
"Hong Liu"
] | https://www.isca-archive.org/interspeech_2025/gao25e_interspeech.html | https://www.isca-archive.org/interspeech_2025/gao25e_interspeech.pdf | 10.21437/Interspeech.2025-1483 | 404-408 | @inproceedings{gao25e_interspeech,
title = {{Leveraging Large Language Models for Spontaneous Speech-Based Suicide Risk Detection}},
author = {Yifan Gao and Jiao Fu and Long Guo and Hong Liu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {404--408},
doi = {10.21437/Interspe... | Early identification of suicide risk is crucial for preventing suicidal behaviors. As a result, the identification and study of patterns and markers related to suicide risk have become a key focus of current research. In this paper, we present the results of our work in the 1st SpeechWellness Challenge (SW1), which aim... | 2507.00693 | title_snapshot |
chen25o_interspeech | Predicting Adolescent Suicidal Risk from Multi-task-based Speech: An Ensemble Learning Approach | [
"Xi Chen",
"Renzhe Yu",
"Yanshen Tan",
"Yiyi Li",
"Quan Qian",
"Ying Lin"
] | https://www.isca-archive.org/interspeech_2025/chen25o_interspeech.html | https://www.isca-archive.org/interspeech_2025/chen25o_interspeech.pdf | 10.21437/Interspeech.2025-2419 | 409-413 | @inproceedings{chen25o_interspeech,
title = {{Predicting Adolescent Suicidal Risk from Multi-task-based Speech: An Ensemble Learning Approach}},
author = {Xi Chen and Renzhe Yu and Yanshen Tan and Yiyi Li and Quan Qian and Ying Lin},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {40... | Adolescent suicide is a pressing global public health issue. Timely identification of suicide risk is crucial. Traditional methods of assessing suicide risk are often limited by their reliance on subjective input and resource requirements. This paper aims to address these limitations by detecting suicide risk from mult... | null | null |
roquefort25_interspeech | In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts | [
"Filomene Roquefort",
"Alexandre Ducorroy",
"Rachid Riad"
] | https://www.isca-archive.org/interspeech_2025/roquefort25_interspeech.html | https://www.isca-archive.org/interspeech_2025/roquefort25_interspeech.pdf | 10.21437/Interspeech.2025-2083 | 414-418 | @inproceedings{roquefort25_interspeech,
title = {{In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts}},
author = {Filomene Roquefort and Alexandre Ducorroy and Rachid Riad},
year = {2025},
booktitle = {{Interspeech 2025}},
pag... | Early suicide risk detection in adolescents is critical yet hindered by scalability challenges of current assessments. This paper presents our approach to the first SpeechWellness Challenge (SW1), which aims to assess suicide risk in Chinese adolescents through speech analysis. Due to speech anonymization constraints, ... | 2505.20491 | title_snapshot |
kim25p_interspeech | Language-Agnostic Suicidal Risk Detection Using Large Language Models | [
"June-Woo Kim",
"Wonkyo Oh",
"Haram Yoon",
"Sung-Hoon Yoon",
"Dae-Jin Kim",
"Dong-Ho Lee",
"Sang-Yeol Lee",
"Chan-Mo Yang"
] | https://www.isca-archive.org/interspeech_2025/kim25p_interspeech.html | https://www.isca-archive.org/interspeech_2025/kim25p_interspeech.pdf | 10.21437/Interspeech.2025-1372 | 419-423 | @inproceedings{kim25p_interspeech,
title = {{Language-Agnostic Suicidal Risk Detection Using Large Language Models}},
author = {June-Woo Kim and Wonkyo Oh and Haram Yoon and Sung-Hoon Yoon and Dae-Jin Kim and Dong-Ho Lee and Sang-Yeol Lee and Chan-Mo Yang},
year = {2025},
booktitle = {{Interspeech 2... | Suicidal risk detection in adolescents is a critical challenge, yet existing methods rely on language-specific models, limiting scalability and generalization. This study introduces a novel language-agnostic framework for suicidal risk assessment with large language models (LLMs). We generate Chinese transcripts from s... | 2505.20109 | title_snapshot |
martin25_interspeech | Network of acoustic characteristics for the automatic detection of suicide risk from speech. Contribution to the 2025 SpeechWellness challenge by the Semawave team | [
"Vincent P. Martin",
"Charles Brazier",
"Maxime Amblard",
"Michel Musiol",
"Jean-Luc Rouas"
] | https://www.isca-archive.org/interspeech_2025/martin25_interspeech.html | https://www.isca-archive.org/interspeech_2025/martin25_interspeech.pdf | 10.21437/Interspeech.2025-599 | 424-428 | @inproceedings{martin25_interspeech,
title = {{Network of acoustic characteristics for the automatic detection of suicide risk from speech. Contribution to the 2025 SpeechWellness challenge by the Semawave team}},
author = {Vincent P. Martin and Charles Brazier and Maxime Amblard and Michel Musiol and Jean-L... | Suicide is a leading cause of death among young individuals. Although early detection and intervention are vital for preventing suicide attempts, current suicide risk assessments rely heavily on clinical interviews and questionnaires, both of which are subject to patient biases. In contrast, speech analysis provides se... | null | null |
eren25_interspeech | ProMode: A Speech Prosody Model Conditioned on Acoustic and Textual Inputs | [
"Eray Eren",
"Qingju Liu",
"Hyeongwoo Kim",
"Pablo Garrido",
"Abeer Alwan"
] | https://www.isca-archive.org/interspeech_2025/eren25_interspeech.html | https://www.isca-archive.org/interspeech_2025/eren25_interspeech.pdf | 10.21437/Interspeech.2025-2189 | 429-433 | @inproceedings{eren25_interspeech,
title = {{ProMode: A Speech Prosody Model Conditioned on Acoustic and Textual Inputs}},
author = {Eray Eren and Qingju Liu and Hyeongwoo Kim and Pablo Garrido and Abeer Alwan},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {429--433},
doi =... | Prosody conveys rich emotional and semantic information of the speech signal as well as individual idiosyncrasies. We propose a stand-alone model that maps text-to-prosodic features such as F0 and energy and can be used in downstream tasks such as TTS. The ProMode encoder takes as input acoustic features and time-align... | 2508.09389 | title_snapshot |
lee25f_interspeech | Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models | [
"Kyowoon Lee",
"Artyom Stitsyuk",
"Gunu Jho",
"Inchul Hwang",
"Jaesik Choi"
] | https://www.isca-archive.org/interspeech_2025/lee25f_interspeech.html | https://www.isca-archive.org/interspeech_2025/lee25f_interspeech.pdf | 10.21437/Interspeech.2025-723 | 434-438 | @inproceedings{lee25f_interspeech,
title = {{Counterfactual Activation Editing for Post-hoc Prosody and Mispronunciation Correction in TTS Models}},
author = {Kyowoon Lee and Artyom Stitsyuk and Gunu Jho and Inchul Hwang and Jaesik Choi},
year = {2025},
booktitle = {{Interspeech 2025}},
pages ... | Recent advances in Text-to-Speech (TTS) have significantly improved speech naturalness, increasing the demand for precise prosody control and mispronunciation correction. Existing approaches for prosody manipulation often depend on specialized modules or additional training, limiting their capacity for post-hoc adjustm... | 2506.00832 | title_snapshot |
mayer25_interspeech | Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis | [
"Paul Mayer",
"Florian Lux",
"Alejandro Pérez-González-de-Martos",
"Angelina Elizarova",
"Lindsey Vanderlyn",
"Dirk Väth",
"Ngoc Thang Vu"
] | https://www.isca-archive.org/interspeech_2025/mayer25_interspeech.html | https://www.isca-archive.org/interspeech_2025/mayer25_interspeech.pdf | 10.21437/Interspeech.2025-1940 | 439-443 | @inproceedings{mayer25_interspeech,
title = {{Investigating Stochastic Methods for Prosody Modeling in Speech Synthesis}},
author = {Paul Mayer and Florian Lux and Alejandro Pérez-González-de-Martos and Angelina Elizarova and Lindsey Vanderlyn and Dirk Väth and Ngoc Thang Vu},
year = {2025},
book... | While generative methods have progressed rapidly in recent years, generating expressive prosody for an utterance remains a challenging task in text-to-speech synthesis. This is particularly true for systems that model prosody explicitly through parameters such as pitch, energy, and duration, which is commonly done for ... | 2507.00227 | title_snapshot |
ogura25_interspeech | GST-BERT-TTS: Prosody Prediction Without Accentual Labels For Multi-Speaker TTS Using BERT With Global Style Tokens | [
"Tadashi Ogura",
"Takuma Okamoto",
"Yamato Ohtani",
"Erica Cooper",
"Tomoki Toda",
"Hisashi Kawai"
] | https://www.isca-archive.org/interspeech_2025/ogura25_interspeech.html | https://www.isca-archive.org/interspeech_2025/ogura25_interspeech.pdf | 10.21437/Interspeech.2025-1098 | 444-448 | @inproceedings{ogura25_interspeech,
title = {{GST-BERT-TTS: Prosody Prediction Without Accentual Labels For Multi-Speaker TTS Using BERT With Global Style Tokens}},
author = {Tadashi Ogura and Takuma Okamoto and Yamato Ohtani and Erica Cooper and Tomoki Toda and Hisashi Kawai},
year = {2025},
bookti... | Prosody prediction is crucial for pitch-accent languages like Japanese in text-to-speech (TTS) synthesis. Traditional methods rely on accent labels, which are often incomplete and do not generalize well. BERT-based models, such as fo-BERT, enable fundamental frequency prediction without accent labels but have been limi... | null | null |
mondal25b_interspeech | ExagTTS: An Approach Towards Controllable Word Stress Incorporated TTS for Exaggerated Synthesized Speech Aiding Second Language Learners | [
"Anindita Mondal",
"Monica Surtani",
"Anil Kumar Vuppala",
"Parameswari Krishnamurthy",
"Chiranjeevi Yarra"
] | https://www.isca-archive.org/interspeech_2025/mondal25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/mondal25b_interspeech.pdf | 10.21437/Interspeech.2025-2032 | 449-453 | @inproceedings{mondal25b_interspeech,
title = {{ExagTTS: An Approach Towards Controllable Word Stress Incorporated TTS for Exaggerated Synthesized Speech Aiding Second Language Learners}},
author = {Anindita Mondal and Monica Surtani and Anil Kumar Vuppala and Parameswari Krishnamurthy and Chiranjeevi Yarra}... | Computer-Assisted Language Learning systems provide speech exaggerating at mispronounced word locations as a feedback to the L2 learners. Traditionally, expert speakers recordings (which limit the scalability) are considered for this task though there are advancements in text-to-speech (TTS) that can generate native li... | null | null |
lee25c_interspeech | Synthetic Data Generation for Phrase Break Prediction with Large Language Model | [
"Hoyeon Lee",
"Sejung Son",
"Ye-Eun Kang",
"Jong-Hwan Kim"
] | https://www.isca-archive.org/interspeech_2025/lee25c_interspeech.html | https://www.isca-archive.org/interspeech_2025/lee25c_interspeech.pdf | 10.21437/Interspeech.2025-564 | 454-458 | @inproceedings{lee25c_interspeech,
title = {{Synthetic Data Generation for Phrase Break Prediction with Large Language Model}},
author = {Hoyeon Lee and Sejung Son and Ye-Eun Kang and Jong-Hwan Kim},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {454--458},
doi = {10.21437/I... | Current approaches to phrase break prediction address crucial prosodic aspects of text-to-speech systems but heavily rely on vast human annotations from audio or text, incurring significant manual effort and cost. Inherent variability in the speech domain, driven by phonetic factors, further complicates acquiring consi... | 2507.18044 | title_snapshot |
white25b_interspeech | Speech Reference Intervals: An Assessment of Feasibility in Depression Symptom Severity Prediction | [
"Lauren White",
"Ewan Carr",
"Judith Dineley",
"Catarina Botelho",
"Pauline Conde",
"Faith Matcham",
"Carolin Oetzmann",
"Amos Folarin",
"George Fairs",
"Agnes Norbury",
"Stefano Goria",
"Srinivasan Vairavan",
"Til Wykes",
"Richard Dobson",
"Vaibhav Naraya",
"Matthew Hotopf",
"Albert... | https://www.isca-archive.org/interspeech_2025/white25b_interspeech.html | https://www.isca-archive.org/interspeech_2025/white25b_interspeech.pdf | 10.21437/Interspeech.2025-1438 | 459-463 | @inproceedings{white25b_interspeech,
title = {{Speech Reference Intervals: An Assessment of Feasibility in Depression Symptom Severity Prediction}},
author = {Lauren White and Ewan Carr and Judith Dineley and Catarina Botelho and Pauline Conde and Faith Matcham and Carolin Oetzmann and Amos Folarin and Georg... | Major Depressive Disorder (MDD) is a prevalent mental disorder. Combining speech features and machine learning has promise for predicting MDD, but interpretability is crucial for clinical applications. Reference intervals (RIs) represent a typical range for a speech feature in a population. RIs could increase interpret... | null | null |
liang25_interspeech | DepressGEN: Synthetic Data Generation Framework for Depression Detection | [
"Wenrui Liang",
"Rong Zhang",
"Xuezhen Zhang",
"Ying Ma",
"Wei-Qiang Zhang"
] | https://www.isca-archive.org/interspeech_2025/liang25_interspeech.html | https://www.isca-archive.org/interspeech_2025/liang25_interspeech.pdf | 10.21437/Interspeech.2025-280 | 464-468 | @inproceedings{liang25_interspeech,
title = {{DepressGEN: Synthetic Data Generation Framework for Depression Detection}},
author = {Wenrui Liang and Rong Zhang and Xuezhen Zhang and Ying Ma and Wei-Qiang Zhang},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {464--468},
doi =... | Automated depression detection is vital for early diagnosis, but ethical and privacy concerns often limit the availability of sufficient training data, hindering research in depression screening. To address this, we introduce DepressGEN, a novel framework that generates synthetic interview dialogue texts and speech sim... | null | null |
zhou25f_interspeech | Emotion-Guided Graph Attention Networks for Speech-Based Depression Detection under Emotion-Inducting Tasks | [
"Yuqiu Zhou",
"Yongjie Zhou",
"Yudong Yang",
"Yang Liu",
"Jun Huang",
"Shuzhi Zhao",
"Rongfeng Su",
"Lan Wang",
"Nan Yan"
] | https://www.isca-archive.org/interspeech_2025/zhou25f_interspeech.html | https://www.isca-archive.org/interspeech_2025/zhou25f_interspeech.pdf | 10.21437/Interspeech.2025-1597 | 469-473 | @inproceedings{zhou25f_interspeech,
title = {{Emotion-Guided Graph Attention Networks for Speech-Based Depression Detection under Emotion-Inducting Tasks}},
author = {Yuqiu Zhou and Yongjie Zhou and Yudong Yang and Yang Liu and Jun Huang and Shuzhi Zhao and Rongfeng Su and Lan Wang and Nan Yan},
year ... | Depression affects emotional expression and perception. As a non-invasive and privacy-preserving method, speech is widely used for automatic depression detection. However, existing models often focus only on depressive features in speech, ignoring the differential emotion expression patterns across different emotion-in... | null | null |
prakrankamanant25_interspeech | Explainable Depression Detection using Masked Hard Instance Mining | [
"Patawee Prakrankamanant",
"Shinji Watanabe",
"Ekapol Chuangsuwanich"
] | https://www.isca-archive.org/interspeech_2025/prakrankamanant25_interspeech.html | https://www.isca-archive.org/interspeech_2025/prakrankamanant25_interspeech.pdf | 10.21437/Interspeech.2025-1181 | 474-478 | @inproceedings{prakrankamanant25_interspeech,
title = {{Explainable Depression Detection using Masked Hard Instance Mining}},
author = {Patawee Prakrankamanant and Shinji Watanabe and Ekapol Chuangsuwanich},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {474--478},
doi = {10... | This paper addresses the critical need for improved explainability in text-based depression detection. While offering predictive outcomes, current solutions often overlook the understanding of model predictions which can hinder trust in the system. We propose the use of Masked Hard Instance Mining (MHIM) to enhance the... | 2505.24609 | title_snapshot |
dumpala25_interspeech | Test-Time Training for Speech-based Depression Detection | [
"Sri Harsha Dumpala",
"Chandramouli S. Sastry",
"Rudolf Uher",
"Sageev Oore"
] | https://www.isca-archive.org/interspeech_2025/dumpala25_interspeech.html | https://www.isca-archive.org/interspeech_2025/dumpala25_interspeech.pdf | 10.21437/Interspeech.2025-2378 | 479-483 | @inproceedings{dumpala25_interspeech,
title = {{Test-Time Training for Speech-based Depression Detection}},
author = {Sri Harsha Dumpala and Chandramouli S. Sastry and Rudolf Uher and Sageev Oore},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {479--483},
doi = {10.21437/Int... | Previous works on speech-based depression detection typically use datasets collected in similar environments for both training and testing the models. However, in practice, the training and testing distributions often differ. Distributional shifts in speech can result from various factors, such as differences in record... | null | null |
zuo25_interspeech | Leveraging Ordinal Information for Speech-based Depression Classification | [
"Lishi Zuo",
"Man-Wai Mak"
] | https://www.isca-archive.org/interspeech_2025/zuo25_interspeech.html | https://www.isca-archive.org/interspeech_2025/zuo25_interspeech.pdf | 10.21437/Interspeech.2025-638 | 484-488 | @inproceedings{zuo25_interspeech,
title = {{Leveraging Ordinal Information for Speech-based Depression Classification}},
author = {Lishi Zuo and Man-Wai Mak},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {484--488},
doi = {10.21437/Interspeech.2025-638},
issn = {2958... | While depression is inherently ordinal, much of the previous work in depression detection oversimplifies the problem by treating it as a binary classification problem, ignoring the subtle variations and the order in depression severity. We propose creating a latent space that contains ordinal information via an ordinal... | null | null |
loweimi25_interspeech | Zero-Shot Speech-Based Depression and Anxiety Assessment with LLMs | [
"Erfan Loweimi",
"Sofia de la Fuente Garcia",
"Saturnino Luz"
] | https://www.isca-archive.org/interspeech_2025/loweimi25_interspeech.html | https://www.isca-archive.org/interspeech_2025/loweimi25_interspeech.pdf | 10.21437/Interspeech.2025-235 | 489-493 | @inproceedings{loweimi25_interspeech,
title = {{Zero-Shot Speech-Based Depression and Anxiety Assessment with LLMs}},
author = {Erfan Loweimi and Sofia {de la Fuente Garcia} and Saturnino Luz},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {489--493},
doi = {10.21437/Intersp... | The use of Large Language Models (LLMs) for psychological state assessment from speech has gained significant interest, particularly in analysing and predicting mental health. In this paper, we explore the potential of eight instruct-tuned LLMs (Llama-3.1-8B, Ministral, Gemma-2-9B, Phi-4, Mistral, DeepSeek-Qwen, QwQ-Pr... | null | null |
lewis25_interspeech | Towards the Objective Characterisation of Major Depressive Disorder Using Speech Data from a 12-week Observational Study with Daily Measurements | [
"Robert Lewis",
"Szymon Fedor",
"Nelson Hidalgo Julia",
"Joshua Curtiss",
"Jiyeon Kim",
"Noah Jones",
"David Mischoulon",
"Thomas F Quatieri",
"Nicholas Cummins",
"Paola Pedrelli",
"Rosalind Picard"
] | https://www.isca-archive.org/interspeech_2025/lewis25_interspeech.html | https://www.isca-archive.org/interspeech_2025/lewis25_interspeech.pdf | 10.21437/Interspeech.2025-2556 | 494-498 | @inproceedings{lewis25_interspeech,
title = {{Towards the Objective Characterisation of Major Depressive Disorder Using Speech Data from a 12-week Observational Study with Daily Measurements}},
author = {Robert Lewis and Szymon Fedor and Nelson {Hidalgo Julia} and Joshua Curtiss and Jiyeon Kim and Noah Jones... | Our analysis focuses on identifying relations between properties of the voice and depression symptom severity. On a novel corpus of 3,374 longitudinal speech recordings from 71 patients clinically diagnosed with major depressive disorder (MDD), we use a statistical modelling approach to identify associations between de... | null | null |
young25_interspeech | Can Speech Accurately Detect Depression in Patients With Comorbid Dementia? An Approach for Mitigating Confounding Effects of Depression and Dementia | [
"Sophie Young",
"Fuxiang Tao",
"Bahman Mirheidari",
"Madhurananda Pahar",
"Markus Reuber",
"Heidi Christensen"
] | https://www.isca-archive.org/interspeech_2025/young25_interspeech.html | https://www.isca-archive.org/interspeech_2025/young25_interspeech.pdf | 10.21437/Interspeech.2025-933 | 499-503 | @inproceedings{young25_interspeech,
title = {{Can Speech Accurately Detect Depression in Patients With Comorbid Dementia? An Approach for Mitigating Confounding Effects of Depression and Dementia}},
author = {Sophie Young and Fuxiang Tao and Bahman Mirheidari and Madhurananda Pahar and Markus Reuber and Heid... | Approximately 15.9% of people living with dementia experience co-occurring major depressive disorder. Both disorders cause similar early clinical symptoms in older people but treatment options and patient outcomes differ. While it is challenging, it is therefore critical for clinicians to be able to distinguish between... | null | null |
li25c_interspeech | Temporal Convolutional Network with Smoothed and Weighted Losses for Distant Voice Activity and Overlapped Speech Detection | [
"Shaojie Li",
"Qintuya Si",
"De Hu"
] | https://www.isca-archive.org/interspeech_2025/li25c_interspeech.html | https://www.isca-archive.org/interspeech_2025/li25c_interspeech.pdf | 10.21437/Interspeech.2025-357 | 504-508 | @inproceedings{li25c_interspeech,
title = {{Temporal Convolutional Network with Smoothed and Weighted Losses for Distant Voice Activity and Overlapped Speech Detection}},
author = {Shaojie Li and Qintuya Si and De Hu},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {504--508},
doi ... | Voice Activity Detection (VAD) and Overlapped Speech Detection (OSD) are key steps in various audio/speech processing tasks. Recent advances in VAD or OSD are moving toward using Temporal Convolutional Networks (TCNs) with frame-independent cross-entropy loss, which may be unable to cope with transient errors or bounda... | null | null |
tripathi25_interspeech | Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion | [
"Kumud Tripathi",
"Chowdam Venkata Kumar",
"Pankaj Wasnik"
] | https://www.isca-archive.org/interspeech_2025/tripathi25_interspeech.html | https://www.isca-archive.org/interspeech_2025/tripathi25_interspeech.pdf | 10.21437/Interspeech.2025-2466 | 509-513 | @inproceedings{tripathi25_interspeech,
title = {{Attention Is Not Always the Answer: Optimizing Voice Activity Detection with Simple Feature Fusion}},
author = {Kumud Tripathi and Chowdam Venkata Kumar and Pankaj Wasnik},
year = {2025},
booktitle = {{Interspeech 2025}},
pages = {509--513},
d... | Voice Activity Detection (VAD) plays a vital role in speech processing, often relying on hand-crafted or neural features. This study examines the effectiveness of Mel-Frequency Cepstral Coefficients (MFCCs) and pre-trained model (PTM) features, including wav2vec 2.0, HuBERT, WavLM, UniSpeech, MMS, and Whisper. We propo... | 2506.01365 | title_snapshot |
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