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 34 | title stringlengths 21 171 | authors listlengths 1 19 | isca_url stringlengths 66 85 | pdf_url stringlengths 65 84 | doi stringlengths 28 30 | pages stringlengths 3 9 | bibtex large_stringlengths 297 729 | abstract large_stringlengths 430 1.87k | arxiv_id stringclasses 147
values | arxiv_id_source stringclasses 2
values |
|---|---|---|---|---|---|---|---|---|---|---|
karita18_interspeech | Semi-Supervised End-to-End Speech Recognition | [
"Shigeki Karita",
"Shinji Watanabe",
"Tomoharu Iwata",
"Atsunori Ogawa",
"Marc Delcroix"
] | https://www.isca-archive.org/interspeech_2018/karita18_interspeech.html | https://www.isca-archive.org/interspeech_2018/karita18_interspeech.pdf | 10.21437/Interspeech.2018-1746 | 2-6 | @inproceedings{karita18_interspeech,
title = {{Semi-Supervised End-to-End Speech Recognition}},
author = {Shigeki Karita and Shinji Watanabe and Tomoharu Iwata and Atsunori Ogawa and Marc Delcroix},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {2--6},
doi = {10.21437/Inters... | We propose a novel semi-supervised method for end-to-end automatic speech recognition (ASR). It can exploit large unpaired speech and text datasets, which require much less human effort to create paired speech-to-text datasets. Our semi-supervised method targets the extraction of an intermediate representation between ... | null | null |
zeyer18_interspeech | Improved Training of End-to-end Attention Models for Speech Recognition | [
"Albert Zeyer",
"Kazuki Irie",
"Ralf Schlüter",
"Hermann Ney"
] | https://www.isca-archive.org/interspeech_2018/zeyer18_interspeech.html | https://www.isca-archive.org/interspeech_2018/zeyer18_interspeech.pdf | 10.21437/Interspeech.2018-1616 | 7-11 | @inproceedings{zeyer18_interspeech,
title = {{Improved Training of End-to-end Attention Models for Speech Recognition}},
author = {Albert Zeyer and Kazuki Irie and Ralf Schlüter and Hermann Ney},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {7--11},
doi = {10.21437/Intersp... | Sequence-to-sequence attention-based models on subword units allow simple open-vocabulary end-to-end speech recognition. In this work, we show that such models can achieve competitive results on the Switchboard 300h and LibriSpeech 1000h tasks. In particular, we report the state-of-the-art word error rates (WER) of 3.5... | 1805.03294 | title_snapshot |
hadian18_interspeech | End-to-end Speech Recognition Using Lattice-free MMI | [
"Hossein Hadian",
"Hossein Sameti",
"Daniel Povey",
"Sanjeev Khudanpur"
] | https://www.isca-archive.org/interspeech_2018/hadian18_interspeech.html | https://www.isca-archive.org/interspeech_2018/hadian18_interspeech.pdf | 10.21437/Interspeech.2018-1423 | 12-16 | @inproceedings{hadian18_interspeech,
title = {{End-to-end Speech Recognition Using Lattice-free MMI}},
author = {Hossein Hadian and Hossein Sameti and Daniel Povey and Sanjeev Khudanpur},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {12--16},
doi = {10.21437/Interspeech.201... | We present our work on end-to-end training of acoustic models using the lattice-free maximum mutual information (LF-MMI) objective function in the context of hidden Markov models. By end-to-end training, we mean flat-start training of a single DNN in one stage without using any previously trained models, forced alignme... | null | null |
braun18_interspeech | Multi-channel Attention for End-to-End Speech Recognition | [
"Stefan Braun",
"Daniel Neil",
"Jithendar Anumula",
"Enea Ceolini",
"Shih-Chii Liu"
] | https://www.isca-archive.org/interspeech_2018/braun18_interspeech.html | https://www.isca-archive.org/interspeech_2018/braun18_interspeech.pdf | 10.21437/Interspeech.2018-1301 | 17-21 | @inproceedings{braun18_interspeech,
title = {{Multi-channel Attention for End-to-End Speech Recognition}},
author = {Stefan Braun and Daniel Neil and Jithendar Anumula and Enea Ceolini and Shih-Chii Liu},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {17--21},
doi = {10.2143... | Recent end-to-end models for automatic speech recognition use sensory attention to integrate multiple input channels within a single neural network. However, these attention models are sensitive to the ordering of the channels used during training. This work proposes a sensory attention mechanism that is invariant to t... | null | null |
parcollet18_interspeech | Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition | [
"Titouan Parcollet",
"Ying Zhang",
"Mohamed Morchid",
"Chiheb Trabelsi",
"Georges Linares",
"Renato de Mori",
"Yoshua Bengio"
] | https://www.isca-archive.org/interspeech_2018/parcollet18_interspeech.html | https://www.isca-archive.org/interspeech_2018/parcollet18_interspeech.pdf | 10.21437/Interspeech.2018-1898 | 22-26 | @inproceedings{parcollet18_interspeech,
title = {{Quaternion Convolutional Neural Networks for End-to-End Automatic Speech Recognition}},
author = {Titouan Parcollet and Ying Zhang and Mohamed Morchid and Chiheb Trabelsi and Georges Linares and Renato {de Mori} and Yoshua Bengio},
year = {2018},
boo... | Recently, the connectionist temporal classification (CTC) model coupled with recurrent (RNN) or convolutional neural networks (CNN), made it easier to train speech recognition systems in an end-to-end fashion. However in real-valued models, time frame components such as mel-filter-bank energies and the cepstral coeffic... | 1806.07789 | title_snapshot |
pang18_interspeech | Compression of End-to-End Models | [
"Ruoming Pang",
"Tara Sainath",
"Rohit Prabhavalkar",
"Suyog Gupta",
"Yonghui Wu",
"Shuyuan Zhang",
"Chung-Cheng Chiu"
] | https://www.isca-archive.org/interspeech_2018/pang18_interspeech.html | https://www.isca-archive.org/interspeech_2018/pang18_interspeech.pdf | 10.21437/Interspeech.2018-1025 | 27-31 | @inproceedings{pang18_interspeech,
title = {{Compression of End-to-End Models}},
author = {Ruoming Pang and Tara Sainath and Rohit Prabhavalkar and Suyog Gupta and Yonghui Wu and Shuyuan Zhang and Chung-Cheng Chiu},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {27--31},
doi ... | End-to-end models, which output text directly given speech using a single neural network, have been shown to be competitive with conventional speech recognition models containing separate acoustic, pronunciation and language model components. Such models do not require additional resources for decoding and are typicall... | null | null |
hodari18_interspeech | Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data | [
"Zack Hodari",
"Oliver Watts",
"Srikanth Ronanki",
"Simon King"
] | https://www.isca-archive.org/interspeech_2018/hodari18_interspeech.html | https://www.isca-archive.org/interspeech_2018/hodari18_interspeech.pdf | 10.21437/Interspeech.2018-2075 | 32-36 | @inproceedings{hodari18_interspeech,
title = {{Learning Interpretable Control Dimensions for Speech Synthesis by Using External Data}},
author = {Zack Hodari and Oliver Watts and Srikanth Ronanki and Simon King},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {32--36},
doi = ... | There are many aspects of speech that we might want to control when creating text-to-speech (TTS) systems. We present a general method that enables control of arbitrary aspects of speech, which we demonstrate on the task of emotion control. Current TTS systems use supervised machine learning and are therefore heavily r... | null | null |
luong18_interspeech | Investigating Accuracy of Pitch-accent Annotations in Neural Network-based Speech Synthesis and Denoising Effects | [
"Hieu-Thi Luong",
"Xin Wang",
"Junichi Yamagishi",
"Nobuyuki Nishizawa"
] | https://www.isca-archive.org/interspeech_2018/luong18_interspeech.html | https://www.isca-archive.org/interspeech_2018/luong18_interspeech.pdf | 10.21437/Interspeech.2018-1227 | 37-41 | @inproceedings{luong18_interspeech,
title = {{Investigating Accuracy of Pitch-accent Annotations in Neural Network-based Speech Synthesis and Denoising Effects}},
author = {Hieu-Thi Luong and Xin Wang and Junichi Yamagishi and Nobuyuki Nishizawa},
year = {2018},
booktitle = {{Interspeech 2018}},
p... | We investigated the impact of noisy linguistic features on the performance of a Japanese speech synthesis system based on neural network that uses WaveNet vocoder. We compared an ideal system that uses manually corrected linguistic features including phoneme and prosodic information in training and test sets against a ... | 1808.00665 | title_snapshot |
liou18_interspeech | An Exploration of Local Speaking Rate Variations in Mandarin Read Speech | [
"Guan-Ting Liou",
"Chen-Yu Chiang",
"Yih-Ru Wang",
"Sin-Horng Chen"
] | https://www.isca-archive.org/interspeech_2018/liou18_interspeech.html | https://www.isca-archive.org/interspeech_2018/liou18_interspeech.pdf | 10.21437/Interspeech.2018-1214 | 42-46 | @inproceedings{liou18_interspeech,
title = {{An Exploration of Local Speaking Rate Variations in Mandarin Read Speech}},
author = {Guan-Ting Liou and Chen-Yu Chiang and Yih-Ru Wang and Sin-Horng Chen},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {42--46},
doi = {10.21437/I... | This paper explores speaking rate variation in Mandarin read speech. In contrast to assuming that each utterance is generated in a constant or global speaking rate, this study seeks to estimate local speaking rate for each prosodic unit in an utterance. The exploration is based on the existing speaking rate-dependent h... | null | null |
zheng18_interspeech | BLSTM-CRF Based End-to-End Prosodic Boundary Prediction with Context Sensitive Embeddings in a Text-to-Speech Front-End | [
"Yibin Zheng",
"Jianhua Tao",
"Zhengqi Wen",
"Ya Li"
] | https://www.isca-archive.org/interspeech_2018/zheng18_interspeech.html | https://www.isca-archive.org/interspeech_2018/zheng18_interspeech.pdf | 10.21437/Interspeech.2018-1472 | 47-51 | @inproceedings{zheng18_interspeech,
title = {{BLSTM-CRF Based End-to-End Prosodic Boundary Prediction with Context Sensitive Embeddings in a Text-to-Speech Front-End}},
author = {Yibin Zheng and Jianhua Tao and Zhengqi Wen and Ya Li},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {4... | In this paper, we propose a language-independent end-to-end architecture for prosodic boundary prediction based on BLSTM-CRF. The proposed architecture has three components, word embedding layer, BLSTM layer and CRF layer. The word embedding layer is employed to learn the task-specific embeddings for prosodic boundary ... | null | null |
sisman18b_interspeech | Wavelet Analysis of Speaker Dependent and Independent Prosody for Voice Conversion | [
"Berrak Sisman",
"Haizhou Li"
] | https://www.isca-archive.org/interspeech_2018/sisman18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/sisman18b_interspeech.pdf | 10.21437/Interspeech.2018-1499 | 52-56 | @inproceedings{sisman18b_interspeech,
title = {{Wavelet Analysis of Speaker Dependent and Independent Prosody for Voice Conversion}},
author = {Berrak Sisman and Haizhou Li},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {52--56},
doi = {10.21437/Interspeech.2018-1499},
is... | Thus far, voice conversion studies are mainly focused on the conversion of spectrum. However, speaker identity is also characterized by its prosody features, such as fundamental frequency (F0) and energy contour. We believe that with a better understanding of speaker dependent/independent prosody features, we can devis... | null | null |
liu18f_interspeech | Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model | [
"Rui Liu",
"Feilong Bao",
"Guanglai Gao",
"Hui Zhang",
"Yonghe Wang"
] | https://www.isca-archive.org/interspeech_2018/liu18f_interspeech.html | https://www.isca-archive.org/interspeech_2018/liu18f_interspeech.pdf | 10.21437/Interspeech.2018-1706 | 57-61 | @inproceedings{liu18f_interspeech,
title = {{Improving Mongolian Phrase Break Prediction by Using Syllable and Morphological Embeddings with BiLSTM Model}},
author = {Rui Liu and Feilong Bao and Guanglai Gao and Hui Zhang and Yonghe Wang},
year = {2018},
booktitle = {{Interspeech 2018}},
pages ... | In the speech synthesis systems, the phrase break (PB) prediction is the first and most important step. Recently, the state-of-the-art PB prediction systems mainly rely on word embeddings. However this method is not fully applicable to Mongolian language, because its word embeddings are inadequate trained, owing to the... | null | null |
you18_interspeech | Improved Supervised Locality Preserving Projection for I-vector Based Speaker Verification | [
"Lanhua You",
"Wu Guo",
"Yan Song",
"Sheng Zhang"
] | https://www.isca-archive.org/interspeech_2018/you18_interspeech.html | https://www.isca-archive.org/interspeech_2018/you18_interspeech.pdf | 10.21437/Interspeech.2018-41 | 62-66 | @inproceedings{you18_interspeech,
title = {{Improved Supervised Locality Preserving Projection for I-vector Based Speaker Verification}},
author = {Lanhua You and Wu Guo and Yan Song and Sheng Zhang},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {62--66},
doi = {10.21437/In... | A Supervised Locality Preserving Projection (SLPP) method is employed for channel compensation in an i-vector based speaker verification system. SLPP preserves more important local information by weighing both the within- and between-speaker nearby data pairs based on the similarity matrices. In this paper, we propose ... | null | null |
shi18b_interspeech | Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings | [
"Ziqiang Shi",
"Huibin Lin",
"Liu Liu",
"Rujie Liu"
] | https://www.isca-archive.org/interspeech_2018/shi18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/shi18b_interspeech.pdf | 10.21437/Interspeech.2018-1103 | 67-71 | @inproceedings{shi18b_interspeech,
title = {{Double Joint Bayesian Modeling of DNN Local I-Vector for Text Dependent Speaker Verification with Random Digit Strings}},
author = {Ziqiang Shi and Huibin Lin and Liu Liu and Rujie Liu},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {67--... | Double joint Bayesian is a recently introduced analysis method that models and explores multiple information explicitly from the samples to improve the verification performance. It was recently applied to voice pass phrase verification, result in better results on text dependent speaker verification task. However littl... | null | null |
silnova18_interspeech | Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors | [
"Anna Silnova",
"Niko Brümmer",
"Daniel Garcia-Romero",
"David Snyder",
"Lukáš Burget"
] | https://www.isca-archive.org/interspeech_2018/silnova18_interspeech.html | https://www.isca-archive.org/interspeech_2018/silnova18_interspeech.pdf | 10.21437/Interspeech.2018-2128 | 72-76 | @inproceedings{silnova18_interspeech,
title = {{Fast Variational Bayes for Heavy-tailed PLDA Applied to i-vectors and x-vectors}},
author = {Anna Silnova and Niko Brümmer and Daniel Garcia-Romero and David Snyder and Lukáš Burget},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {7... | The standard state-of-the-art backend for text-independent speaker recognizers that use i-vectors or x-vectors is Gaussian PLDA (G-PLDA), assisted by a Gaussianization step involving length normalization. G-PLDA can be trained with both gener- ative or discriminative methods. It has long been known that heavy-tailed PL... | 1803.09153 | title_snapshot |
todisco18_interspeech | Integrated Presentation Attack Detection and Automatic Speaker Verification: Common Features and Gaussian Back-end Fusion | [
"Massimiliano Todisco",
"Héctor Delgado",
"Kong Aik Lee",
"Md Sahidullah",
"Nicholas Evans",
"Tomi Kinnunen",
"Junichi Yamagishi"
] | https://www.isca-archive.org/interspeech_2018/todisco18_interspeech.html | https://www.isca-archive.org/interspeech_2018/todisco18_interspeech.pdf | 10.21437/Interspeech.2018-2289 | 77-81 | @inproceedings{todisco18_interspeech,
title = {{Integrated Presentation Attack Detection and Automatic Speaker Verification: Common Features and Gaussian Back-end Fusion}},
author = {Massimiliano Todisco and Héctor Delgado and Kong Aik Lee and Md Sahidullah and Nicholas Evans and Tomi Kinnunen and Junichi Y... | The vulnerability of automatic speaker verification (ASV) systems to spoofing is widely acknowledged. Recent years have seen an intensification in research efforts to develop spoofing countermeasures, also known as presentation attack detection (PAD) systems. Much of this work has involved the exploration of features t... | null | null |
ferrer18_interspeech | A Generalization of PLDA for Joint Modeling of Speaker Identity and Multiple Nuisance Conditions | [
"Luciana Ferrer",
"Mitchell McLaren"
] | https://www.isca-archive.org/interspeech_2018/ferrer18_interspeech.html | https://www.isca-archive.org/interspeech_2018/ferrer18_interspeech.pdf | 10.21437/Interspeech.2018-1280 | 82-86 | @inproceedings{ferrer18_interspeech,
title = {{A Generalization of PLDA for Joint Modeling of Speaker Identity and Multiple Nuisance Conditions}},
author = {Luciana Ferrer and Mitchell McLaren},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {82--86},
doi = {10.21437/Interspe... | Probabilistic linear discriminant analysis (PLDA) is the leading method for computing scores in speaker recognition systems. The method models the vectors representing each audio sample as a sum of three terms: one that depends on the speaker identity, one that models the within-speaker variability and one that models ... | null | null |
chen18j_interspeech | An Investigation of Non-linear i-vectors for Speaker Verification | [
"Nanxin Chen",
"Jesús Villalba",
"Najim Dehak"
] | https://www.isca-archive.org/interspeech_2018/chen18j_interspeech.html | https://www.isca-archive.org/interspeech_2018/chen18j_interspeech.pdf | 10.21437/Interspeech.2018-2474 | 87-91 | @inproceedings{chen18j_interspeech,
title = {{An Investigation of Non-linear i-vectors for Speaker Verification}},
author = {Nanxin Chen and Jesús Villalba and Najim Dehak},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {87--91},
doi = {10.21437/Interspeech.2018-2474},
is... | Speaker verification becomes increasingly important due to the popularity of speech assistants and smart home. i-vectors are used broadly for this topic, which use factor analysis to model the shift of average parameter in Gaussian Mixture Models. Recently by the progress of deep learning, high-level non-linearity impr... | null | null |
ram18_interspeech | CNN Based Query by Example Spoken Term Detection | [
"Dhananjay Ram",
"Lesly Miculicich",
"Hervé Bourlard"
] | https://www.isca-archive.org/interspeech_2018/ram18_interspeech.html | https://www.isca-archive.org/interspeech_2018/ram18_interspeech.pdf | 10.21437/Interspeech.2018-1722 | 92-96 | @inproceedings{ram18_interspeech,
title = {{CNN Based Query by Example Spoken Term Detection}},
author = {Dhananjay Ram and Lesly Miculicich and Hervé Bourlard},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {92--96},
doi = {10.21437/Interspeech.2018-1722},
issn = {2... | In this work, we address the problem of query by example spoken term detection (QbE-STD) in zero-resource scenario. State of the art solutions usually rely on dynamic time warping (DTW) based template matching. In contrast, we propose here to tackle the problem as binary classification of images. Similar to the DTW app... | null | null |
yuan18_interspeech | Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search | [
"Yougen Yuan",
"Cheung-Chi Leung",
"Lei Xie",
"Hongjie Chen",
"Bin Ma",
"Haizhou Li"
] | https://www.isca-archive.org/interspeech_2018/yuan18_interspeech.html | https://www.isca-archive.org/interspeech_2018/yuan18_interspeech.pdf | 10.21437/Interspeech.2018-1010 | 97-101 | @inproceedings{yuan18_interspeech,
title = {{Learning Acoustic Word Embeddings with Temporal Context for Query-by-Example Speech Search}},
author = {Yougen Yuan and Cheung-Chi Leung and Lei Xie and Hongjie Chen and Bin Ma and Haizhou Li},
year = {2018},
booktitle = {{Interspeech 2018}},
pages ... | We propose to learn acoustic word embeddings with temporal context for query-by-example (QbE) speech search. The temporal context includes the leading and trailing word sequences of a word. We assume that there exist spoken word pairs in the training database. We pad the word pairs with their original temporal context ... | 1806.03621 | title_snapshot |
zhu18b_interspeech | Siamese Recurrent Auto-Encoder Representation for Query-by-Example Spoken Term Detection | [
"Ziwei Zhu",
"Zhiyong Wu",
"Runnan Li",
"Helen Meng",
"Lianhong Cai"
] | https://www.isca-archive.org/interspeech_2018/zhu18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/zhu18b_interspeech.pdf | 10.21437/Interspeech.2018-1788 | 102-106 | @inproceedings{zhu18b_interspeech,
title = {{Siamese Recurrent Auto-Encoder Representation for Query-by-Example Spoken Term Detection}},
author = {Ziwei Zhu and Zhiyong Wu and Runnan Li and Helen Meng and Lianhong Cai},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {102--106},
doi... | With the explosive development of human-computer speech interaction, spoken term detection is widely required and has attracted increasing interest. In this paper, we propose a weak supervised approach using Siamese recurrent auto-encoder (RAE) to represent speech segments for query-by-example spoken term detection (Qb... | null | null |
li18g_interspeech | Fast Derivation of Cross-lingual Document Vectors from Self-attentive Neural Machine Translation Model | [
"Wei Li",
"Brian Mak"
] | https://www.isca-archive.org/interspeech_2018/li18g_interspeech.html | https://www.isca-archive.org/interspeech_2018/li18g_interspeech.pdf | 10.21437/Interspeech.2018-1459 | 107-111 | @inproceedings{li18g_interspeech,
title = {{Fast Derivation of Cross-lingual Document Vectors from Self-attentive Neural Machine Translation Model}},
author = {Wei Li and Brian Mak},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {107--111},
doi = {10.21437/Interspeech.2018-1... | A universal cross-lingual representation of documents, which can capture the underlying semantics is very useful in many natural language processing tasks. In this paper, we develop a new document vectorization method which effectively selects the most salient sequential patterns from the inputs to create document vect... | null | null |
pandey18_interspeech | LSTM Based Attentive Fusion of Spectral and Prosodic Information for Keyword Spotting in Hindi Language | [
"Laxmi Pandey",
"Karan Nathwani"
] | https://www.isca-archive.org/interspeech_2018/pandey18_interspeech.html | https://www.isca-archive.org/interspeech_2018/pandey18_interspeech.pdf | 10.21437/Interspeech.2018-1016 | 112-116 | @inproceedings{pandey18_interspeech,
title = {{LSTM Based Attentive Fusion of Spectral and Prosodic Information for Keyword Spotting in Hindi Language}},
author = {Laxmi Pandey and Karan Nathwani},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {112--116},
doi = {10.21437/Int... | In this paper, a DNN based keyword spotting framework, that utilizes both spectral as well as prosodic information present in the speech signal, is proposed. A DNN is first trained to learn a set of hierarchical non-linear transformation parameters that project the original spectral and prosodic feature vectors onto a ... | null | null |
shankar18_interspeech | Spoken Keyword Detection Using Joint DTW-CNN | [
"Ravi Shankar",
"C M Vikram",
"S R M Prasanna"
] | https://www.isca-archive.org/interspeech_2018/shankar18_interspeech.html | https://www.isca-archive.org/interspeech_2018/shankar18_interspeech.pdf | 10.21437/Interspeech.2018-1436 | 117-121 | @inproceedings{shankar18_interspeech,
title = {{Spoken Keyword Detection Using Joint DTW-CNN}},
author = {Ravi Shankar and C M Vikram and S R M Prasanna},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {117--121},
doi = {10.21437/Interspeech.2018-1436},
issn = {2958-17... | A method to detect spoken keywords in a given speech utterance is proposed, called as joint Dynamic Time Warping (DTW)- Convolution Neural Network (CNN). It is a combination of DTW approach with a strong classifier like CNN. Both these methods have independently shown significant results in solving problems related to ... | null | null |
schuller18_interspeech | The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats | [
"Björn Schuller",
"Stefan Steidl",
"Anton Batliner",
"Peter B. Marschik",
"Harald Baumeister",
"Fengquan Dong",
"Simone Hantke",
"Florian B. Pokorny",
"Eva-Maria Rathner",
"Katrin D. Bartl-Pokorny",
"Christa Einspieler",
"Dajie Zhang",
"Alice Baird",
"Shahin Amiriparian",
"Kun Qian",
... | https://www.isca-archive.org/interspeech_2018/schuller18_interspeech.html | https://www.isca-archive.org/interspeech_2018/schuller18_interspeech.pdf | 10.21437/Interspeech.2018-51 | 122-126 | @inproceedings{schuller18_interspeech,
title = {{The INTERSPEECH 2018 Computational Paralinguistics Challenge: Atypical & Self-Assessed Affect, Crying & Heart Beats}},
author = {Björn Schuller and Stefan Steidl and Anton Batliner and Peter B. Marschik and Harald Baumeister and Fengquan Dong and Simone Hantk... | The INTERSPEECH 2018 Computational Paralinguistics Challenge addresses four different problems for the first time in a research competition under well-defined conditions: In the Atypical Affect Sub-Challenge, four basic emotions annotated in the speech of handicapped subjects have to be classified; in the Self-Assessed... | null | null |
humayun18_interspeech | An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification | [
"Ahmed Imtiaz Humayun",
"Md. Tauhiduzzaman Khan",
"Shabnam Ghaffarzadegan",
"Zhe Feng",
"Taufiq Hasan"
] | https://www.isca-archive.org/interspeech_2018/humayun18_interspeech.html | https://www.isca-archive.org/interspeech_2018/humayun18_interspeech.pdf | 10.21437/Interspeech.2018-2413 | 127-131 | @inproceedings{humayun18_interspeech,
title = {{An Ensemble of Transfer, Semi-supervised and Supervised Learning Methods for Pathological Heart Sound Classification}},
author = {Ahmed Imtiaz Humayun and Md. Tauhiduzzaman Khan and Shabnam Ghaffarzadegan and Zhe Feng and Taufiq Hasan},
year = {2018},
... | In this work, we propose an ensemble of classifiers to distinguish between various degrees of abnormalities of the heart using Phonocardiogram (PCG) signals acquired using digital stethoscopes in a clinical setting, for the INTERSPEECH 2018 Computational Paralinguistics (ComParE) Heart Beats Sub-Challenge. Our primary ... | 1806.06506 | title_snapshot |
turan18_interspeech | Monitoring Infant's Emotional Cry in Domestic Environments Using the Capsule Network Architecture | [
"Mehmet Ali TuÄtekin Turan",
"Engin Erzin"
] | https://www.isca-archive.org/interspeech_2018/turan18_interspeech.html | https://www.isca-archive.org/interspeech_2018/turan18_interspeech.pdf | 10.21437/Interspeech.2018-2187 | 132-136 | @inproceedings{turan18_interspeech,
title = {{Monitoring Infant's Emotional Cry in Domestic Environments Using the Capsule Network Architecture}},
author = {Mehmet Ali TuÄtekin Turan and Engin Erzin},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {132--136},
doi = {10.21437... | Automated recognition of an infant's cry from audio can be considered as a preliminary step for the applications like remote baby monitoring. In this paper, we implemented a recently introduced deep learning topology called capsule network (CapsNet) for the cry recognition problem. A capsule in the CapsNet, which is de... | null | null |
huckvale18_interspeech | Neural Network Architecture That Combines Temporal and Summative Features for Infant Cry Classification in the Interspeech 2018 Computational Paralinguistics Challenge | [
"Mark Huckvale"
] | https://www.isca-archive.org/interspeech_2018/huckvale18_interspeech.html | https://www.isca-archive.org/interspeech_2018/huckvale18_interspeech.pdf | 10.21437/Interspeech.2018-1959 | 137-141 | @inproceedings{huckvale18_interspeech,
title = {{Neural Network Architecture That Combines Temporal and Summative Features for Infant Cry Classification in the Interspeech 2018 Computational Paralinguistics Challenge}},
author = {Mark Huckvale},
year = {2018},
booktitle = {{Interspeech 2018}},
pag... | This paper describes the application of a novel deep neural network architecture to the classification of infant vocalisations as part of the Interspeech 2018 Computational Paralinguistics Challenge. Previous approaches to infant cry classification have either applied a statistical classifier to summative features of t... | null | null |
zhang18l_interspeech | Evolving Learning for Analysing Mood-Related Infant Vocalisation | [
"Zixing Zhang",
"Jing Han",
"Kun Qian",
"Björn Schuller"
] | https://www.isca-archive.org/interspeech_2018/zhang18l_interspeech.html | https://www.isca-archive.org/interspeech_2018/zhang18l_interspeech.pdf | 10.21437/Interspeech.2018-1914 | 142-146 | @inproceedings{zhang18l_interspeech,
title = {{Evolving Learning for Analysing Mood-Related Infant Vocalisation}},
author = {Zixing Zhang and Jing Han and Kun Qian and Björn Schuller},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {142--146},
doi = {10.21437/Interspeech.201... | Infant vocalisation analysis plays an important role in the study of the development of pre-speech capability of infants, while machine-based approaches nowadays emerge with an aim to advance such an analysis. However, conventional machine learning techniques require heavy feature-engineering and refined architecture d... | null | null |
wagner18_interspeech | Deep Learning in Paralinguistic Recognition Tasks: Are Hand-crafted Features Still Relevant? | [
"Johannes Wagner",
"Dominik Schiller",
"Andreas Seiderer",
"Elisabeth André"
] | https://www.isca-archive.org/interspeech_2018/wagner18_interspeech.html | https://www.isca-archive.org/interspeech_2018/wagner18_interspeech.pdf | 10.21437/Interspeech.2018-1238 | 147-151 | @inproceedings{wagner18_interspeech,
title = {{Deep Learning in Paralinguistic Recognition Tasks: Are Hand-crafted Features Still Relevant?}},
author = {Johannes Wagner and Dominik Schiller and Andreas Seiderer and Elisabeth André},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {14... | In the past, the performance of machine learning algorithms depended heavily on the representation of the data. Well-designed features therefore played a key role in speech and paralinguistic recognition tasks. Consequently, engineers have put a great deal of work into manually designing large and complex acoustic feat... | null | null |
luo18_interspeech | Investigation on Joint Representation Learning for Robust Feature Extraction in Speech Emotion Recognition | [
"Danqing Luo",
"Yuexian Zou",
"Dongyan Huang"
] | https://www.isca-archive.org/interspeech_2018/luo18_interspeech.html | https://www.isca-archive.org/interspeech_2018/luo18_interspeech.pdf | 10.21437/Interspeech.2018-1832 | 152-156 | @inproceedings{luo18_interspeech,
title = {{Investigation on Joint Representation Learning for Robust Feature Extraction in Speech Emotion Recognition}},
author = {Danqing Luo and Yuexian Zou and Dongyan Huang},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {152--156},
doi =... | Speech emotion recognition (SER) is a challenging task due to its difficulty in finding proper representations for emotion embedding in speech. Recently, Convolutional Recurrent Neural Network (CRNN), which is combined by convolution neural network and recurrent neural network, is popular in this field and achieves sta... | null | null |
park18c_interspeech | Using Voice Quality Supervectors for Affect Identification | [
"Soo Jin Park",
"Amber Afshan",
"Zhi Ming Chua",
"Abeer Alwan"
] | https://www.isca-archive.org/interspeech_2018/park18c_interspeech.html | https://www.isca-archive.org/interspeech_2018/park18c_interspeech.pdf | 10.21437/Interspeech.2018-1401 | 157-161 | @inproceedings{park18c_interspeech,
title = {{Using Voice Quality Supervectors for Affect Identification}},
author = {Soo Jin Park and Amber Afshan and Zhi Ming Chua and Abeer Alwan},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {157--161},
doi = {10.21437/Interspeech.2018-... | The voice quality of speech sounds often conveys perceivable information about the speakerâs affect. This study proposes perceptually important voice quality features to recognize affect represented in speech excerpts from individuals with mental, neurological and/or physical disabilities. The voice quality feature s... | null | null |
tang18c_interspeech | An End-to-End Deep Learning Framework for Speech Emotion Recognition of Atypical Individuals | [
"Dengke Tang",
"Junlin Zeng",
"Ming Li"
] | https://www.isca-archive.org/interspeech_2018/tang18c_interspeech.html | https://www.isca-archive.org/interspeech_2018/tang18c_interspeech.pdf | 10.21437/Interspeech.2018-2581 | 162-166 | @inproceedings{tang18c_interspeech,
title = {{An End-to-End Deep Learning Framework for Speech Emotion Recognition of Atypical Individuals}},
author = {Dengke Tang and Junlin Zeng and Ming Li},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {162--166},
doi = {10.21437/Intersp... | The goal of the ongoing ComParE 2018 Atypical Affect sub-challenge is to recognize the emotional states of atypical individuals. In this work, we present three modeling methods under the end-to-end learning framework, namely CNN combined with extended features, CNN+RNN and ResNet, respectively. Furthermore, we investig... | null | null |
prasad18_interspeech | Discriminating Nasals and Approximants in English Language Using Zero Time Windowing | [
"RaviShankar Prasad",
"Sudarsana Reddy Kadiri",
"Suryakanth V Gangashetty",
"Bayya Yegnanarayana"
] | https://www.isca-archive.org/interspeech_2018/prasad18_interspeech.html | https://www.isca-archive.org/interspeech_2018/prasad18_interspeech.pdf | 10.21437/Interspeech.2018-1032 | 177-181 | @inproceedings{prasad18_interspeech,
title = {{Discriminating Nasals and Approximants in English Language Using Zero Time Windowing}},
author = {RaviShankar Prasad and Sudarsana Reddy Kadiri and Suryakanth V Gangashetty and Bayya Yegnanarayana},
year = {2018},
booktitle = {{Interspeech 2018}},
pag... | Nasals and approximants consonants are often confused with each other. Despite the distinction in the production mechanism, these two sound classes exhibit a similar low frequency behavior and lack significant high frequency content. The present study uses a spectral representation obtained using the zero time windowin... | null | null |
howson18_interspeech | Gestural Lenition of Rhotics Captures Variation in Brazilian Portuguese | [
"Phil Howson",
"Alexei Kochetov"
] | https://www.isca-archive.org/interspeech_2018/howson18_interspeech.html | https://www.isca-archive.org/interspeech_2018/howson18_interspeech.pdf | 10.21437/Interspeech.2018-1404 | 182-186 | @inproceedings{howson18_interspeech,
title = {{Gestural Lenition of Rhotics Captures Variation in Brazilian Portuguese}},
author = {Phil Howson and Alexei Kochetov},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {182--186},
doi = {10.21437/Interspeech.2018-1404},
issn ... | The goal of this study is to examine the rhotics in Brazilian Portuguese (BP), /ɾ,Ê/ and the âarchetypalâ coda /R/, to determine if: (1) they can be characterized as a coordination of the tongue dorsum and tongue body or tip and (2) manipulation of the gestural settings accounts for rhotic allophony in BP. Six na... | null | null |
prasad18b_interspeech | Identification and Classification of Fricatives in Speech Using Zero Time Windowing Method | [
"RaviShankar Prasad",
"Bayya Yegnanarayana"
] | https://www.isca-archive.org/interspeech_2018/prasad18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/prasad18b_interspeech.pdf | 10.21437/Interspeech.2018-1958 | 187-191 | @inproceedings{prasad18b_interspeech,
title = {{Identification and Classification of Fricatives in Speech Using Zero Time Windowing Method}},
author = {RaviShankar Prasad and Bayya Yegnanarayana},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {187--191},
doi = {10.21437/Inte... | Fricatives are produced by creating a turbulence in the air-flow by passing it through a stricture in the vocal tract cavity. Fricatives are characterized by their noise-like behavior, which makes it difficult to analyze. Difference in the place of articulation leads to different classes of fricatives. Identification o... | null | null |
chanchaochai18_interspeech | GlobalTIMIT: Acoustic-Phonetic Datasets for the Worldâs Languages | [
"Nattanun Chanchaochai",
"Christopher Cieri",
"Japhet Debrah",
"Hongwei Ding",
"Yue Jiang",
"Sishi Liao",
"Mark Liberman",
"Jonathan Wright",
"Jiahong Yuan",
"Juhong Zhan",
"Yuqing Zhan"
] | https://www.isca-archive.org/interspeech_2018/chanchaochai18_interspeech.html | https://www.isca-archive.org/interspeech_2018/chanchaochai18_interspeech.pdf | 10.21437/Interspeech.2018-1185 | 192-196 | @inproceedings{chanchaochai18_interspeech,
title = {{GlobalTIMIT: Acoustic-Phonetic Datasets for the Worldâs Languages}},
author = {Nattanun Chanchaochai and Christopher Cieri and Japhet Debrah and Hongwei Ding and Yue Jiang and Sishi Liao and Mark Liberman and Jonathan Wright and Jiahong Yuan and Juhong Z... | Although the TIMIT acoustic-phonetic dataset ([1], [2]) was created three decades ago, it remains in wide use, with more than 20000 Google Scholar references and more than 1000 since 2017. Despite TIMITâs antiquity and relatively small size, inspection of these references shows that it is still used in many research ... | null | null |
hermes18_interspeech | Structural Effects on Properties of Consonantal Gestures in Tashlhiyt | [
"Anne Hermes",
"Doris Mücke",
"Bastian Auris",
"Rachid Ridouane"
] | https://www.isca-archive.org/interspeech_2018/hermes18_interspeech.html | https://www.isca-archive.org/interspeech_2018/hermes18_interspeech.pdf | 10.21437/Interspeech.2018-1074 | 197-201 | @inproceedings{hermes18_interspeech,
title = {{Structural Effects on Properties of Consonantal Gestures in Tashlhiyt}},
author = {Anne Hermes and Doris Mücke and Bastian Auris and Rachid Ridouane},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {197--201},
doi = {10.21437/In... | Tashlhiyt Berber is a language in which every consonant can take up the nucleus position in a syllable. The present study investigates how gestural properties are modified when the consonants occur in different syllable positions (onset, nucleus, coda). Furthermore, the effect of higher structural components such as mo... | null | null |
kochetov18_interspeech | The Retroflex-dental Contrast in Punjabi Stops and Nasals: A Principal Component Analysis of Ultrasound Images | [
"Alexei Kochetov",
"Matthew Faytak",
"Kiranpreet Nara"
] | https://www.isca-archive.org/interspeech_2018/kochetov18_interspeech.html | https://www.isca-archive.org/interspeech_2018/kochetov18_interspeech.pdf | 10.21437/Interspeech.2018-1457 | 202-206 | @inproceedings{kochetov18_interspeech,
title = {{The Retroflex-dental Contrast in Punjabi Stops and Nasals: A Principal Component Analysis of Ultrasound Images}},
author = {Alexei Kochetov and Matthew Faytak and Kiranpreet Nara},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {202--2... | Many languages of South Asia show a phonemic contrast between retroflexes and dentals across different manners of articulation. This contrast, however, tends to be less phonetically distinct and more variable in nasals. The goal of this paper is to examine the overall similarity of the retroflex-dental contrasts in Pun... | null | null |
yue18_interspeech | Vowels and Diphthongs in Hangzhou Wu Chinese Dialect | [
"Yang Yue",
"Fang Hu"
] | https://www.isca-archive.org/interspeech_2018/yue18_interspeech.html | https://www.isca-archive.org/interspeech_2018/yue18_interspeech.pdf | 10.21437/Interspeech.2018-1225 | 207-211 | @inproceedings{yue18_interspeech,
title = {{Vowels and Diphthongs in Hangzhou Wu Chinese Dialect}},
author = {Yang Yue and Fang Hu},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {207--211},
doi = {10.21437/Interspeech.2018-1225},
issn = {2958-1796},
} | This paper gives an acoustic phonetic description of the vowels and diphthongs in Hangzhou Wu Chinese dialect. Data from 12 speakers, 6 male and 6 female, were measured and analyzed. Monophthongs were investigated in CV, CVN and CVC syllables; diphthongs were examined in terms of temporal organization, spectral propert... | null | null |
m18b_interspeech | Resyllabification in Indian Languages and Its Implications in Text-to-speech Systems | [
"Mahesh M",
"Jeena J Prakash",
"Hema Murthy"
] | https://www.isca-archive.org/interspeech_2018/m18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/m18b_interspeech.pdf | 10.21437/Interspeech.2018-1176 | 212-216 | @inproceedings{m18b_interspeech,
title = {{Resyllabification in Indian Languages and Its Implications in Text-to-speech Systems}},
author = {Mahesh M and Jeena J Prakash and Hema Murthy},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {212--216},
doi = {10.21437/Interspeech.2... | Resyllabification is a phonological process in continuous speech in which the coda of a syllable is converted into the onset of the following syllable, either in the same word or in the subsequent word. This paper presents an analysis of resyllabification across words in different Indian languages and its implications ... | null | null |
murphy18_interspeech | Voice Source Contribution to Prominence Perception: Rd Implementation | [
"Andy Murphy",
"Irena Yanushevskaya",
"Ailbhe NÃ Chasaide",
"Christer Gobl"
] | https://www.isca-archive.org/interspeech_2018/murphy18_interspeech.html | https://www.isca-archive.org/interspeech_2018/murphy18_interspeech.pdf | 10.21437/Interspeech.2018-2352 | 217-221 | @inproceedings{murphy18_interspeech,
title = {{Voice Source Contribution to Prominence Perception: Rd Implementation}},
author = {Andy Murphy and Irena Yanushevskaya and Ailbhe {NÃ Chasaide} and Christer Gobl},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {217--221},
doi =... | This paper explores the contribution of voice source modulation to the perception of prominence, following on previous analyses of accentuation, focus and deaccentuation. A listening test was carried out on a sentence of Irish with three accented, prominent syllables (P1, P2, P3). Using inverse filtering and resynthesi... | null | null |
gobl18_interspeech | On the Relationship between Glottal Pulse Shape and Its Spectrum: Correlations of Open Quotient, Pulse Skew and Peak Flow with Source Harmonic Amplitudes | [
"Christer Gobl",
"Andy Murphy",
"Irena Yanushevskaya",
"Ailbhe NÃ Chasaide"
] | https://www.isca-archive.org/interspeech_2018/gobl18_interspeech.html | https://www.isca-archive.org/interspeech_2018/gobl18_interspeech.pdf | 10.21437/Interspeech.2018-2532 | 222-226 | @inproceedings{gobl18_interspeech,
title = {{On the Relationship between Glottal Pulse Shape and Its Spectrum: Correlations of Open Quotient, Pulse Skew and Peak Flow with Source Harmonic Amplitudes}},
author = {Christer Gobl and Andy Murphy and Irena Yanushevskaya and Ailbhe {NÃ Chasaide}},
year = {... | This paper explores the relationship between the glottal pulse amplitude (Up) and the amplitude of the first harmonic (H1), as well as the combined effects of Up, the open quotient (Oq) and degree of pulse asymmetry/skew (Rk) on the low end of the source spectrum. This serves to elucidate their relationship to the H1-H... | null | null |
hughes18_interspeech | The Individual and the System: Assessing the Stability of the Output of a Semi-automatic Forensic Voice Comparison System | [
"Vincent Hughes",
"Philip Harrison",
"Paul Foulkes",
"Peter French",
"Colleen Kavanagh",
"Eugenia San Segundo Fernández"
] | https://www.isca-archive.org/interspeech_2018/hughes18_interspeech.html | https://www.isca-archive.org/interspeech_2018/hughes18_interspeech.pdf | 10.21437/Interspeech.2018-1649 | 227-231 | @inproceedings{hughes18_interspeech,
title = {{The Individual and the System: Assessing the Stability of the Output of a Semi-automatic Forensic Voice Comparison System}},
author = {Vincent Hughes and Philip Harrison and Paul Foulkes and Peter French and Colleen Kavanagh and Eugenia {San Segundo Fernández}}... | Semi-automatic systems based on traditional linguistic-phonetic features are increasingly being used for forensic voice comparison (FVC) casework. In this paper, we examine the stability of the output of a semi-automatic system, based on the long-term formant distributions (LTFDs) of F1, F2 and F3, as the channel quali... | null | null |
kadiri18b_interspeech | Breathy to Tense Voice Discrimination using Zero-Time Windowing Cepstral Coefficients (ZTWCCs) | [
"Sudarsana Reddy Kadiri",
"Bayya Yegnanarayana"
] | https://www.isca-archive.org/interspeech_2018/kadiri18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/kadiri18b_interspeech.pdf | 10.21437/Interspeech.2018-2498 | 232-236 | @inproceedings{kadiri18b_interspeech,
title = {{Breathy to Tense Voice Discrimination using Zero-Time Windowing Cepstral Coefficients (ZTWCCs)}},
author = {Sudarsana Reddy Kadiri and Bayya Yegnanarayana},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {232--236},
doi = {10.21... | In this paper, we consider breathy to tense voices, which are often considered to be opposite ends of a voice quality continuum. Along with these, other aspects of a speaker's voice play an important role to convey the information to the listener such as mood, attitude and emotional state. The glottal pulse characteris... | null | null |
gogoi18_interspeech | Analysis of Breathiness in Contextual Vowel of Voiceless Nasals in Mizo | [
"Pamir Gogoi",
"Sishir Kalita",
"Parismita Gogoi",
"Ratree Wayland",
"Priyankoo Sarmah",
"S R Mahadeva Prasanna"
] | https://www.isca-archive.org/interspeech_2018/gogoi18_interspeech.html | https://www.isca-archive.org/interspeech_2018/gogoi18_interspeech.pdf | 10.21437/Interspeech.2018-1899 | 237-241 | @inproceedings{gogoi18_interspeech,
title = {{Analysis of Breathiness in Contextual Vowel of Voiceless Nasals in Mizo}},
author = {Pamir Gogoi and Sishir Kalita and Parismita Gogoi and Ratree Wayland and Priyankoo Sarmah and S R Mahadeva Prasanna},
year = {2018},
booktitle = {{Interspeech 2018}},
... | This study analyses the source characteristics of voiced and voiceless nasals in Mizo, a Tibeto-Burman language spoken in North-East India. Mizo is one of the few languages that has voiced and voiceless nasals in its phoneme inventory. This analysis is motivated by the interaction between breathiness and nasality repor... | null | null |
xu18c_interspeech | Infant Emotional Outbursts Detection in Infant-parent Spoken Interactions | [
"Yijia Xu",
"Mark Hasegawa-Johnson",
"Nancy McElwain"
] | https://www.isca-archive.org/interspeech_2018/xu18c_interspeech.html | https://www.isca-archive.org/interspeech_2018/xu18c_interspeech.pdf | 10.21437/Interspeech.2018-2429 | 242-246 | @inproceedings{xu18c_interspeech,
title = {{Infant Emotional Outbursts Detection in Infant-parent Spoken Interactions}},
author = {Yijia Xu and Mark Hasegawa-Johnson and Nancy McElwain},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {242--246},
doi = {10.21437/Interspeech.20... | Detection of infant emotional outbursts, such as crying, in large corpora of recorded infant speech, is essential to the study of dyadic social process, by which infants learn to identify and regulate their own emotions. Such large corpora now exist with the advent of LENA speech monitoring systems, but are not labeled... | null | null |
cho18_interspeech | Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts | [
"Jaejin Cho",
"Raghavendra Pappagari",
"Purva Kulkarni",
"Jesús Villalba",
"Yishay Carmiel",
"Najim Dehak"
] | https://www.isca-archive.org/interspeech_2018/cho18_interspeech.html | https://www.isca-archive.org/interspeech_2018/cho18_interspeech.pdf | 10.21437/Interspeech.2018-2466 | 247-251 | @inproceedings{cho18_interspeech,
title = {{Deep Neural Networks for Emotion Recognition Combining Audio and Transcripts}},
author = {Jaejin Cho and Raghavendra Pappagari and Purva Kulkarni and Jesús Villalba and Yishay Carmiel and Najim Dehak},
year = {2018},
booktitle = {{Interspeech 2018}},
pa... | In this paper, we propose to improve emotion recognition by combining acoustic information and conversation transcripts. On the one hand, an LSTM network was used to detect emotion from acoustic features like f0, shimmer, jitter, MFCC, etc. On the other hand, a multi-resolution CNN was used to detect emotion from word ... | 1911.00432 | title_snapshot |
parthasarathy18b_interspeech | Preference-Learning with Qualitative Agreement for Sentence Level Emotional Annotations | [
"Srinivas Parthasarathy",
"Carlos Busso"
] | https://www.isca-archive.org/interspeech_2018/parthasarathy18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/parthasarathy18b_interspeech.pdf | 10.21437/Interspeech.2018-2478 | 252-256 | @inproceedings{parthasarathy18b_interspeech,
title = {{Preference-Learning with Qualitative Agreement for Sentence Level Emotional Annotations}},
author = {Srinivas Parthasarathy and Carlos Busso},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {252--256},
doi = {10.21437/Int... | The perceptual evaluation of emotional attributes is noisy due to inconsistencies between annotators. The low inter-evaluator agreement arises due to the complex nature of emotions. Conventional approaches average scores provided by multiple annotators. While this approach reduces the influence of dissident annotations... | null | null |
latif18b_interspeech | Transfer Learning for Improving Speech Emotion Classification Accuracy | [
"Siddique Latif",
"Rajib Rana",
"Shahzad Younis",
"Junaid Qadir",
"Julien Epps"
] | https://www.isca-archive.org/interspeech_2018/latif18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/latif18b_interspeech.pdf | 10.21437/Interspeech.2018-1625 | 257-261 | @inproceedings{latif18b_interspeech,
title = {{Transfer Learning for Improving Speech Emotion Classification Accuracy}},
author = {Siddique Latif and Rajib Rana and Shahzad Younis and Junaid Qadir and Julien Epps},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {257--261},
doi ... | The majority of existing speech emotion recognition research focuses on automatic emotion detection using training and testing data from same corpus collected under the same conditions. The performance of such systems has been shown to drop significantly in cross-corpus and cross-language scenarios. To address the prob... | 1801.06353 | title_snapshot |
meyer18_interspeech | What Do Classifiers Actually Learn? a Case Study on Emotion Recognition Datasets | [
"Patrick Meyer",
"Eric Buschermöhle",
"Tim Fingscheidt"
] | https://www.isca-archive.org/interspeech_2018/meyer18_interspeech.html | https://www.isca-archive.org/interspeech_2018/meyer18_interspeech.pdf | 10.21437/Interspeech.2018-1851 | 262-266 | @inproceedings{meyer18_interspeech,
title = {{What Do Classifiers Actually Learn? a Case Study on Emotion Recognition Datasets}},
author = {Patrick Meyer and Eric Buschermöhle and Tim Fingscheidt},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {262--266},
doi = {10.21437/In... | In supervised learning, a typical method to ensure that a classifier has desirable generalization properties, is to split the available data into training, validation and test subsets. Given a proper data split, we typically then trust our results on the test data. But what do classifiers actually learn? In this case s... | null | null |
rathner18b_interspeech | State of Mind: Classification through Self-reported Affect and Word Use in Speech. | [
"Eva-Maria Rathner",
"Yannik Terhorst",
"Nicholas Cummins",
"Björn Schuller",
"Harald Baumeister"
] | https://www.isca-archive.org/interspeech_2018/rathner18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/rathner18b_interspeech.pdf | 10.21437/Interspeech.2018-2043 | 267-271 | @inproceedings{rathner18b_interspeech,
title = {{State of Mind: Classification through Self-reported Affect and Word Use in Speech.}},
author = {Eva-Maria Rathner and Yannik Terhorst and Nicholas Cummins and Björn Schuller and Harald Baumeister},
year = {2018},
booktitle = {{Interspeech 2018}},
p... | Human stateâof-mind (SOM; e.g.: perception, cognition, attention) constantly shifts due to internal and external demands. Mental health is influenced by the habitual use of either adaptive or maladaptive SOM. Therefore, the training of conscious regulation of SOM could be promising in self-help (e- and m-health), ble... | null | null |
zhao18c_interspeech | Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition | [
"Ziping Zhao",
"Yu Zheng",
"Zixing Zhang",
"Haishuai Wang",
"Yiqin Zhao",
"Chao Li"
] | https://www.isca-archive.org/interspeech_2018/zhao18c_interspeech.html | https://www.isca-archive.org/interspeech_2018/zhao18c_interspeech.pdf | 10.21437/Interspeech.2018-1477 | 272-276 | @inproceedings{zhao18c_interspeech,
title = {{Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition}},
author = {Ziping Zhao and Yu Zheng and Zixing Zhang and Haishuai Wang and Yiqin Zhao and Chao Li},
year = {2018},
... | Automatic emotion recognition from speech, which is an important and challenging task in the field of affective computing, heavily relies on the effectiveness of the speech features for classification. Previous approaches to emotion recognition have mostly focused on the extraction of carefully hand-crafted features. H... | null | null |
ghahremani18b_interspeech | End-to-end Deep Neural Network Age Estimation | [
"Pegah Ghahremani",
"Phani Sankar Nidadavolu",
"Nanxin Chen",
"Jesús Villalba",
"Daniel Povey",
"Sanjeev Khudanpur",
"Najim Dehak"
] | https://www.isca-archive.org/interspeech_2018/ghahremani18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/ghahremani18b_interspeech.pdf | 10.21437/Interspeech.2018-2015 | 277-281 | @inproceedings{ghahremani18b_interspeech,
title = {{End-to-end Deep Neural Network Age Estimation}},
author = {Pegah Ghahremani and Phani Sankar Nidadavolu and Nanxin Chen and Jesús Villalba and Daniel Povey and Sanjeev Khudanpur and Najim Dehak},
year = {2018},
booktitle = {{Interspeech 2018}},
... | In this paper, we apply the recently proposed x-vector neural network architecture for the task of age estimation. This architecture maps a variable length utterance into a fixed dimensional embedding which retains the relevant sequence level information. This is achieved by a temporal pooling layer. From the embedding... | null | null |
hebbar18_interspeech | Improving Gender Identification in Movie Audio Using Cross-Domain Data | [
"Rajat Hebbar",
"Krishna Somandepalli",
"Shrikanth Narayanan"
] | https://www.isca-archive.org/interspeech_2018/hebbar18_interspeech.html | https://www.isca-archive.org/interspeech_2018/hebbar18_interspeech.pdf | 10.21437/Interspeech.2018-1462 | 282-286 | @inproceedings{hebbar18_interspeech,
title = {{Improving Gender Identification in Movie Audio Using Cross-Domain Data}},
author = {Rajat Hebbar and Krishna Somandepalli and Shrikanth Narayanan},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {282--286},
doi = {10.21437/Inters... | Gender identification from audio is an important task for quantitative gender analysis in multimedia and to improve tasks like speech recognition. Robust gender identification requires speech segmentation that relies on accurate voice activity detection (VAD). These tasks are challenging in movie audio due to diverse a... | null | null |
kabil18_interspeech | On Learning to Identify Genders from Raw Speech Signal Using CNNs | [
"Selen Hande Kabil",
"Hannah Muckenhirn",
"Mathew Magimai.-Doss"
] | https://www.isca-archive.org/interspeech_2018/kabil18_interspeech.html | https://www.isca-archive.org/interspeech_2018/kabil18_interspeech.pdf | 10.21437/Interspeech.2018-1240 | 287-291 | @inproceedings{kabil18_interspeech,
title = {{On Learning to Identify Genders from Raw Speech Signal Using CNNs}},
author = {Selen Hande Kabil and Hannah Muckenhirn and Mathew Magimai.-Doss},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {287--291},
doi = {10.21437/Interspee... | Automatic Gender Recognition (AGR) is the task of identifying the gender of a speaker given a speech signal. Standard approaches extract features like fundamental frequency and cepstral features from the speech signal and train a binary classifier. Inspired from recent works in the area of automatic speech recognition ... | null | null |
sebastian18_interspeech | Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech | [
"Jilt Sebastian",
"Manoj Kumar",
"D. S. Pavan Kumar",
"Mathew Magimai.-Doss",
"Hema Murthy",
"Shrikanth Narayanan"
] | https://www.isca-archive.org/interspeech_2018/sebastian18_interspeech.html | https://www.isca-archive.org/interspeech_2018/sebastian18_interspeech.pdf | 10.21437/Interspeech.2018-2321 | 292-296 | @inproceedings{sebastian18_interspeech,
title = {{Denoising and Raw-waveform Networks for Weakly-Supervised Gender Identification on Noisy Speech}},
author = {Jilt Sebastian and Manoj Kumar and D. S. Pavan Kumar and Mathew Magimai.-Doss and Hema Murthy and Shrikanth Narayanan},
year = {2018},
bookti... | This paper presents a raw-waveform neural network and uses it along with a denoising network for clustering in weakly-supervised learning scenarios under extreme noise conditions. Specifically, we consider language independent gender identification on a set of varied noise conditions and signal to noise ratios (SNRs). ... | null | null |
williamson18_interspeech | The Effect of Exposure to High Altitude and Heat on Speech Articulatory Coordination | [
"James Williamson",
"Thomas Quatieri",
"Adam Lammert",
"Katherine Mitchell",
"Katherine Finkelstein",
"Nicole Ekon",
"Caitlin Dillon",
"Robert Kenefick",
"Kristin Heaton"
] | https://www.isca-archive.org/interspeech_2018/williamson18_interspeech.html | https://www.isca-archive.org/interspeech_2018/williamson18_interspeech.pdf | 10.21437/Interspeech.2018-2372 | 297-301 | @inproceedings{williamson18_interspeech,
title = {{The Effect of Exposure to High Altitude and Heat on Speech Articulatory Coordination}},
author = {James Williamson and Thomas Quatieri and Adam Lammert and Katherine Mitchell and Katherine Finkelstein and Nicole Ekon and Caitlin Dillon and Robert Kenefick an... | The effects of altitude and heat on speech articulatory coordination following exercise and approximately three hours of exposure are explored. Recordings of read speech and free response speech before and after exercise in moderate altitude, moderate heat and both moderate altitude and heat are analyzed using features... | null | null |
chen18i_interspeech | Permutation Invariant Training of Generative Adversarial Network for Monaural Speech Separation | [
"Lianwu Chen",
"Meng Yu",
"Yanmin Qian",
"Dan Su",
"Dong Yu"
] | https://www.isca-archive.org/interspeech_2018/chen18i_interspeech.html | https://www.isca-archive.org/interspeech_2018/chen18i_interspeech.pdf | 10.21437/Interspeech.2018-1603 | 302-306 | @inproceedings{chen18i_interspeech,
title = {{Permutation Invariant Training of Generative Adversarial Network for Monaural Speech Separation}},
author = {Lianwu Chen and Meng Yu and Yanmin Qian and Dan Su and Dong Yu},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {302--306},
doi... | We explore generative adversarial networks (GANs) for speech separation, particularly with permutation invariant training (SSGAN-PIT). Prior work demonstrates that GANs can be implemented for suppressing additive noise in noisy speech waveform and improving perceptual speech quality. In this work, we train GANs for spe... | null | null |
wang18d_interspeech | Deep Extractor Network for Target Speaker Recovery from Single Channel Speech Mixtures | [
"Jun Wang",
"Jie Chen",
"Dan Su",
"Lianwu Chen",
"Meng Yu",
"Yanmin Qian",
"Dong Yu"
] | https://www.isca-archive.org/interspeech_2018/wang18d_interspeech.html | https://www.isca-archive.org/interspeech_2018/wang18d_interspeech.pdf | 10.21437/Interspeech.2018-1205 | 307-311 | @inproceedings{wang18d_interspeech,
title = {{Deep Extractor Network for Target Speaker Recovery from Single Channel Speech Mixtures}},
author = {Jun Wang and Jie Chen and Dan Su and Lianwu Chen and Meng Yu and Yanmin Qian and Dong Yu},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = ... | Speaker-aware source separation methods are promising workarounds for major difficulties such as arbitrary source permutation and unknown number of sources. However, it remains challenging to achieve satisfying performance provided a very short available target speaker utterance (anchor). Here we present a novel "deep ... | 1807.08974 | title_snapshot |
he18b_interspeech | Joint Localization and Classification of Multiple Sound Sources Using a Multi-task Neural Network | [
"Weipeng He",
"Petr Motlicek",
"Jean-Marc Odobez"
] | https://www.isca-archive.org/interspeech_2018/he18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/he18b_interspeech.pdf | 10.21437/Interspeech.2018-1269 | 312-316 | @inproceedings{he18b_interspeech,
title = {{Joint Localization and Classification of Multiple Sound Sources Using a Multi-task Neural Network}},
author = {Weipeng He and Petr Motlicek and Jean-Marc Odobez},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {312--316},
doi = {10.... | We propose a novel multi-task neural network-based approach for joint sound source localization and speech/non-speech classification in noisy environments. The network takes raw short time Fourier transform as input and outputs the likelihood values for the two tasks, which are used for the simultaneous detection, loca... | null | null |
yang18_interspeech | Detection of Glottal Closure Instants from Speech Signals: A Convolutional Neural Network Based Method | [
"Shuai Yang",
"Zhiyong Wu",
"Binbin Shen",
"Helen Meng"
] | https://www.isca-archive.org/interspeech_2018/yang18_interspeech.html | https://www.isca-archive.org/interspeech_2018/yang18_interspeech.pdf | 10.21437/Interspeech.2018-1281 | 317-321 | @inproceedings{yang18_interspeech,
title = {{Detection of Glottal Closure Instants from Speech Signals: A Convolutional Neural Network Based Method}},
author = {Shuai Yang and Zhiyong Wu and Binbin Shen and Helen Meng},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {317--321},
doi... | Most conventional methods to detect glottal closure instants (GCI) are based on signal processing technologies and different GCI candidate selection methods. This paper proposes a classification method to detect glottal closure instants from speech waveforms using convolutional neural network (CNN). The procedure is di... | null | null |
wang18g_interspeech | Robust TDOA Estimation Based on Time-Frequency Masking and Deep Neural Networks | [
"Zhong-Qiu Wang",
"Xueliang Zhang",
"DeLiang Wang"
] | https://www.isca-archive.org/interspeech_2018/wang18g_interspeech.html | https://www.isca-archive.org/interspeech_2018/wang18g_interspeech.pdf | 10.21437/Interspeech.2018-1652 | 322-326 | @inproceedings{wang18g_interspeech,
title = {{Robust TDOA Estimation Based on Time-Frequency Masking and Deep Neural Networks}},
author = {Zhong-Qiu Wang and Xueliang Zhang and DeLiang Wang},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {322--326},
doi = {10.21437/Interspee... | Deep learning based time-frequency (T-F) masking has dramatically advanced monaural speech separation and enhancement. This study investigates its potential for robust time difference of arrival (TDOA) estimation in noisy and reverberant environments. Three novel algorithms are proposed to improve the robustness of con... | null | null |
kato18_interspeech | Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks | [
"Akihiro Kato",
"Tomi Kinnunen"
] | https://www.isca-archive.org/interspeech_2018/kato18_interspeech.html | https://www.isca-archive.org/interspeech_2018/kato18_interspeech.pdf | 10.21437/Interspeech.2018-1671 | 327-331 | @inproceedings{kato18_interspeech,
title = {{Waveform to Single Sinusoid Regression to Estimate the F0 Contour from Noisy Speech Using Recurrent Deep Neural Networks}},
author = {Akihiro Kato and Tomi Kinnunen},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {327--331},
doi =... | The fundamental frequency (F0) represents pitch in speech that determines prosodic characteristics of speech and is needed in various tasks for speech analysis and synthesis. Despite decades of research on this topic, F0 estimation at low signal-to-noise ratios (SNRs) in unexpected noise conditions remains difficult. T... | 1807.00752 | title_snapshot |
magron18b_interspeech | Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation | [
"Paul Magron",
"Konstantinos Drossos",
"Stylianos Ioannis Mimilakis",
"Tuomas Virtanen"
] | https://www.isca-archive.org/interspeech_2018/magron18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/magron18b_interspeech.pdf | 10.21437/Interspeech.2018-1845 | 332-336 | @inproceedings{magron18b_interspeech,
title = {{Reducing Interference with Phase Recovery in DNN-based Monaural Singing Voice Separation}},
author = {Paul Magron and Konstantinos Drossos and Stylianos {Ioannis Mimilakis} and Tuomas Virtanen},
year = {2018},
booktitle = {{Interspeech 2018}},
pages ... | State-of-the-art methods for monaural singing voice separation consist in estimating the magnitude spectrum of the voice in the short-time Fourier transform (STFT) domain by means of deep neural networks (DNNs). The resulting magnitude estimate is then combined with the mixture's phase to retrieve the complex-valued ST... | null | null |
hua18_interspeech | Nebula: F0 Estimation and Voicing Detection by Modeling the Statistical Properties of Feature Extractors | [
"Kanru Hua"
] | https://www.isca-archive.org/interspeech_2018/hua18_interspeech.html | https://www.isca-archive.org/interspeech_2018/hua18_interspeech.pdf | 10.21437/Interspeech.2018-1258 | 337-341 | @inproceedings{hua18_interspeech,
title = {{Nebula: F0 Estimation and Voicing Detection by Modeling the Statistical Properties of Feature Extractors}},
author = {Kanru Hua},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {337--341},
doi = {10.21437/Interspeech.2018-1258},
i... | A F0 and voicing status estimation algorithm for high quality speech analysis/synthesis is proposed. This problem is approached from a different perspective that models the behavior of feature extractors under noise, instead of directly modeling speech signals. Under time-frequency locality assumptions, the joint distr... | 1710.11317 | title_snapshot |
luo18c_interspeech | Real-time Single-channel Dereverberation and Separation with Time-domain Audio Separation Network | [
"Yi Luo",
"Nima Mesgarani"
] | https://www.isca-archive.org/interspeech_2018/luo18c_interspeech.html | https://www.isca-archive.org/interspeech_2018/luo18c_interspeech.pdf | 10.21437/Interspeech.2018-2290 | 342-346 | @inproceedings{luo18c_interspeech,
title = {{Real-time Single-channel Dereverberation and Separation with Time-domain Audio Separation Network}},
author = {Yi Luo and Nima Mesgarani},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {342--346},
doi = {10.21437/Interspeech.2018-... | We investigate the recently proposed Time-domain Audio Separation Network (TasNet) in the task of real-time single-channel speech dereverberation. Unlike systems that take time-frequency representation of the audio as input, TasNet learns an adaptive front-end in replacement of the time-frequency representation by a ti... | null | null |
kumar18c_interspeech | Music Source Activity Detection and Separation Using Deep Attractor Network | [
"Rajath Kumar",
"Yi Luo",
"Nima Mesgarani"
] | https://www.isca-archive.org/interspeech_2018/kumar18c_interspeech.html | https://www.isca-archive.org/interspeech_2018/kumar18c_interspeech.pdf | 10.21437/Interspeech.2018-2326 | 347-351 | @inproceedings{kumar18c_interspeech,
title = {{Music Source Activity Detection and Separation Using Deep Attractor Network}},
author = {Rajath Kumar and Yi Luo and Nima Mesgarani},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {347--351},
doi = {10.21437/Interspeech.2018-232... | In music signal processing, singing voice detection and music source separation are widely researched topics. Recent progress in deep neural network based source separation has advanced the state of the performance in the problem of vocal and instrument separation, while the problem of joint source activity detection a... | null | null |
yang18d_interspeech | Improving Mandarin Tone Recognition Using Convolutional Bidirectional Long Short-Term Memory with Attention | [
"Longfei Yang",
"Yanlu Xie",
"Jinsong Zhang"
] | https://www.isca-archive.org/interspeech_2018/yang18d_interspeech.html | https://www.isca-archive.org/interspeech_2018/yang18d_interspeech.pdf | 10.21437/Interspeech.2018-2561 | 352-356 | @inproceedings{yang18d_interspeech,
title = {{Improving Mandarin Tone Recognition Using Convolutional Bidirectional Long Short-Term Memory with Attention}},
author = {Longfei Yang and Yanlu Xie and Jinsong Zhang},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {352--356},
doi ... | Automatic tone recognition is useful for Mandarin spoken language processing. However, the complex F0 variations from the tone co-articulations and the interplay effects among tonality make it rather difficult to perform tone recognition of Chinese continuous speech. This paper explored the application of Bidirectional... | null | null |
vanson18_interspeech | Vowel Space as a Tool to Evaluate Articulation Problems | [
"Rob van Son",
"Catherine Middag",
"Kris Demuynck"
] | https://www.isca-archive.org/interspeech_2018/vanson18_interspeech.html | https://www.isca-archive.org/interspeech_2018/vanson18_interspeech.pdf | 10.21437/Interspeech.2018-68 | 357-361 | @inproceedings{vanson18_interspeech,
title = {{Vowel Space as a Tool to Evaluate Articulation Problems}},
author = {Rob {van Son} and Catherine Middag and Kris Demuynck},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {357--361},
doi = {10.21437/Interspeech.2018-68},
issn ... | Treatment for oral tumors can lead to long term changes in the anatomy and physiology of the vocal tract and result in problems with articulation. There are currently no readily available automatic methods to evaluate changes in articulation. We developed a Praat script which plots and measures vowel space coverage. Th... | null | null |
delvaux18_interspeech | Towards a Better Characterization of Parkinsonian Speech: A Multidimensional Acoustic Study | [
"Veronique Delvaux",
"Kathy Huet",
"Myriam Piccaluga",
"Sophie van Malderen",
"Bernard Harmegnies"
] | https://www.isca-archive.org/interspeech_2018/delvaux18_interspeech.html | https://www.isca-archive.org/interspeech_2018/delvaux18_interspeech.pdf | 10.21437/Interspeech.2018-1054 | 362-366 | @inproceedings{delvaux18_interspeech,
title = {{Towards a Better Characterization of Parkinsonian Speech: A Multidimensional Acoustic Study}},
author = {Veronique Delvaux and Kathy Huet and Myriam Piccaluga and Sophie {van Malderen} and Bernard Harmegnies},
year = {2018},
booktitle = {{Interspeech 2... | This paper reports on a first attempt at adopting a new perspective in characterizing speech disorders in Parkinson's Disease (PD) based on individual patient profiles. Acoustic data were collected on 13 Belgian French speakers with PD, 6 male, 7 female, aged 45-81 and 50 healthy controls (HC) using the "MonPaGe" proto... | null | null |
kalita18_interspeech | Self-similarity Matrix Based Intelligibility Assessment of Cleft Lip and Palate Speech | [
"Sishir Kalita",
"S R Mahadeva Prasanna",
"Samarendra Dandapat"
] | https://www.isca-archive.org/interspeech_2018/kalita18_interspeech.html | https://www.isca-archive.org/interspeech_2018/kalita18_interspeech.pdf | 10.21437/Interspeech.2018-1125 | 367-371 | @inproceedings{kalita18_interspeech,
title = {{Self-similarity Matrix Based Intelligibility Assessment of Cleft Lip and Palate Speech}},
author = {Sishir Kalita and S R Mahadeva Prasanna and Samarendra Dandapat},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {367--371},
doi ... | This work presents a comparison based framework by exploiting the self-similarity matrices matching technique to estimate the speech intelligibility of cleft lip and palate (CLP) children. Self-similarity matrix (SSM) of a feature sequence is a square matrix, which encodes the acoustic-phonetic composition of the under... | null | null |
dubey18b_interspeech | Pitch-Adaptive Front-end Feature for Hypernasality Detection | [
"Akhilesh Kumar Dubey",
"S R Mahadeva Prasanna",
"S Dandapat"
] | https://www.isca-archive.org/interspeech_2018/dubey18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/dubey18b_interspeech.pdf | 10.21437/Interspeech.2018-1251 | 372-376 | @inproceedings{dubey18b_interspeech,
title = {{Pitch-Adaptive Front-end Feature for Hypernasality Detection}},
author = {Akhilesh Kumar Dubey and S R Mahadeva Prasanna and S Dandapat},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {372--376},
doi = {10.21437/Interspeech.2018... | Hypernasality in cleft palate (CP) children is due to the velopharyngeal insufficiency. The vowels get nasalized in hypernasal speech and the nasality evidence are mainly present in low-frequency region around the first formant (F1) of vowels. The detection of hypernasality using Mel-frequency cepstral coefficient (MFC... | null | null |
norel18_interspeech | Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis | [
"Raquel Norel",
"Mary Pietrowicz",
"Carla Agurto",
"Shay Rishoni",
"Guillermo Cecchi"
] | https://www.isca-archive.org/interspeech_2018/norel18_interspeech.html | https://www.isca-archive.org/interspeech_2018/norel18_interspeech.pdf | 10.21437/Interspeech.2018-2389 | 377-381 | @inproceedings{norel18_interspeech,
title = {{Detection of Amyotrophic Lateral Sclerosis (ALS) via Acoustic Analysis}},
author = {Raquel Norel and Mary Pietrowicz and Carla Agurto and Shay Rishoni and Guillermo Cecchi},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {377--381},
doi... | ALS is a fatal neurodegenerative disease with no cure. Experts typically measure disease progression via the ALSFRS-R score, which includes measurements of various abilities known to decline. We propose instead the use of speech analysis as a proxy for ALS progression. This technique enables 1) frequent non-invasive, i... | null | null |
vikram18c_interspeech | Detection of Glottal Activity Errors in Production of Stop Consonants in Children with Cleft Lip and Palate | [
"C M Vikram",
"S R Mahadeva Prasanna",
"Ajish K Abraham",
"Pushpavathi M",
"Girish K S"
] | https://www.isca-archive.org/interspeech_2018/vikram18c_interspeech.html | https://www.isca-archive.org/interspeech_2018/vikram18c_interspeech.pdf | 10.21437/Interspeech.2018-1665 | 382-386 | @inproceedings{vikram18c_interspeech,
title = {{Detection of Glottal Activity Errors in Production of Stop Consonants in Children with Cleft Lip and Palate}},
author = {C M Vikram and S R Mahadeva Prasanna and Ajish {K Abraham} and Pushpavathi M and Girish {K S}},
year = {2018},
booktitle = {{Inters... | Individuals with cleft lip and palate (CLP) alter the glottal activity characteristics during the production of stop consonants. The presence/absence of glottal vibrations during the production of unvoiced/voiced stops is referred as glottal activity error (GAE). In this work, acoustic-phonetic and production based kno... | null | null |
sriram18_interspeech | Cold Fusion: Training Seq2Seq Models Together with Language Models | [
"Anuroop Sriram",
"Heewoo Jun",
"Sanjeev Satheesh",
"Adam Coates"
] | https://www.isca-archive.org/interspeech_2018/sriram18_interspeech.html | https://www.isca-archive.org/interspeech_2018/sriram18_interspeech.pdf | 10.21437/Interspeech.2018-1392 | 387-391 | @inproceedings{sriram18_interspeech,
title = {{Cold Fusion: Training Seq2Seq Models Together with Language Models}},
author = {Anuroop Sriram and Heewoo Jun and Sanjeev Satheesh and Adam Coates},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {387--391},
doi = {10.21437/Inter... | Sequence-to-sequence (Seq2Seq) models with attention have excelled at tasks which involve generating natural language sentences such as machine translation, image captioning and speech recognition. Performance has further been improved by leveraging unlabeled data, often in the form of a language model. In this work, w... | 1708.06426 | title_snapshot |
irie18_interspeech | Investigation on Estimation of Sentence Probability by Combining Forward, Backward and Bi-directional LSTM-RNNs | [
"Kazuki Irie",
"Zhihong Lei",
"Liuhui Deng",
"Ralf Schlüter",
"Hermann Ney"
] | https://www.isca-archive.org/interspeech_2018/irie18_interspeech.html | https://www.isca-archive.org/interspeech_2018/irie18_interspeech.pdf | 10.21437/Interspeech.2018-1766 | 392-395 | @inproceedings{irie18_interspeech,
title = {{Investigation on Estimation of Sentence Probability by Combining Forward, Backward and Bi-directional LSTM-RNNs}},
author = {Kazuki Irie and Zhihong Lei and Liuhui Deng and Ralf Schlüter and Hermann Ney},
year = {2018},
booktitle = {{Interspeech 2018}},
... | A combination of forward and backward long short-term memory (LSTM) recurrent neural network (RNN) language models is a popular model combination approach to improve the estimation of the sequence probability in the second pass N-best list rescoring in automatic speech recognition (ASR). In this work, we further push s... | null | null |
zenkel18_interspeech | Subword and Crossword Units for CTC Acoustic Models | [
"Thomas Zenkel",
"Ramon Sanabria",
"Florian Metze",
"Alex Waibel"
] | https://www.isca-archive.org/interspeech_2018/zenkel18_interspeech.html | https://www.isca-archive.org/interspeech_2018/zenkel18_interspeech.pdf | 10.21437/Interspeech.2018-2057 | 396-400 | @inproceedings{zenkel18_interspeech,
title = {{Subword and Crossword Units for CTC Acoustic Models}},
author = {Thomas Zenkel and Ramon Sanabria and Florian Metze and Alex Waibel},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {396--400},
doi = {10.21437/Interspeech.2018-205... | This paper proposes a novel approach to create a unit set for CTC-based speech recognition systems. By using Byte-Pair Encoding we learn a unit set of an arbitrary size on a given training text. In contrast to using characters or words as units this allows us to find a good trade-off between the size of our unit set an... | 1712.06855 | title_snapshot |
tanaka18_interspeech | Neural Error Corrective Language Models for Automatic Speech Recognition | [
"Tomohiro Tanaka",
"Ryo Masumura",
"Hirokazu Masataki",
"Yushi Aono"
] | https://www.isca-archive.org/interspeech_2018/tanaka18_interspeech.html | https://www.isca-archive.org/interspeech_2018/tanaka18_interspeech.pdf | 10.21437/Interspeech.2018-1430 | 401-405 | @inproceedings{tanaka18_interspeech,
title = {{Neural Error Corrective Language Models for Automatic Speech Recognition}},
author = {Tomohiro Tanaka and Ryo Masumura and Hirokazu Masataki and Yushi Aono},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {401--405},
doi = {10.21... | We present novel neural network based language models that can correct automatic speech recognition (ASR) errors by using speech recognizer output as a context. These models, called neural error corrective language models (NECLMs), utilizes ASR hypotheses of a target utterance as a context for estimating the generative... | null | null |
rasooli18_interspeech | Entity-Aware Language Model as an Unsupervised Reranker | [
"Mohammad Sadegh Rasooli",
"Sarangarajan Parthasarathy"
] | https://www.isca-archive.org/interspeech_2018/rasooli18_interspeech.html | https://www.isca-archive.org/interspeech_2018/rasooli18_interspeech.pdf | 10.21437/Interspeech.2018-62 | 406-410 | @inproceedings{rasooli18_interspeech,
title = {{Entity-Aware Language Model as an Unsupervised Reranker}},
author = {Mohammad Sadegh Rasooli and Sarangarajan Parthasarathy},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {406--410},
doi = {10.21437/Interspeech.2018-62},
iss... | In language modeling, it is difficult to incorporate entity relationships from a knowledge-base. One solution is to use a reranker trained with global features, in which global features are derived from n-best lists. However, training such a reranker requires manually annotated n-best lists, which is expensive to obtai... | 1803.04291 | title_snapshot |
choi18_interspeech | Character-level Language Modeling with Gated Hierarchical Recurrent Neural Networks | [
"Iksoo Choi",
"Jinhwan Park",
"Wonyong Sung"
] | https://www.isca-archive.org/interspeech_2018/choi18_interspeech.html | https://www.isca-archive.org/interspeech_2018/choi18_interspeech.pdf | 10.21437/Interspeech.2018-1727 | 411-415 | @inproceedings{choi18_interspeech,
title = {{Character-level Language Modeling with Gated Hierarchical Recurrent Neural Networks}},
author = {Iksoo Choi and Jinhwan Park and Wonyong Sung},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {411--415},
doi = {10.21437/Interspeech.... | Recurrent neural network (RNN)-based language models are widely used for speech recognition and translation applications. We propose a gated hierarchical recurrent neural network (GHRNN) and apply it to the character-level language modeling. GHRNN consists of multiple RNN units that operate with different time scales a... | null | null |
levitan18_interspeech | Acoustic-Prosodic Indicators of Deception and Trust in Interview Dialogues | [
"Sarah Ita Levitan",
"Angel Maredia",
"Julia Hirschberg"
] | https://www.isca-archive.org/interspeech_2018/levitan18_interspeech.html | https://www.isca-archive.org/interspeech_2018/levitan18_interspeech.pdf | 10.21437/Interspeech.2018-2443 | 416-420 | @inproceedings{levitan18_interspeech,
title = {{Acoustic-Prosodic Indicators of Deception and Trust in Interview Dialogues}},
author = {Sarah Ita Levitan and Angel Maredia and Julia Hirschberg},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {416--420},
doi = {10.21437/Inters... | We analyze a set of acoustic-prosodic features in both truthful and deceptive responses to interview questions, identifying differences between truthful and deceptive speech. We also study the perception of deception, identifying acoustic-prosodic characteristics of speech that is perceived as truthful or deceptive by ... | null | null |
an18b_interspeech | Deep Personality Recognition for Deception Detection | [
"Guozhen An",
"Sarah Ita Levitan",
"Julia Hirschberg",
"Rivka Levitan"
] | https://www.isca-archive.org/interspeech_2018/an18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/an18b_interspeech.pdf | 10.21437/Interspeech.2018-2269 | 421-425 | @inproceedings{an18b_interspeech,
title = {{Deep Personality Recognition for Deception Detection}},
author = {Guozhen An and Sarah Ita Levitan and Julia Hirschberg and Rivka Levitan},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {421--425},
doi = {10.21437/Interspeech.2018-... | Researchers in both psychology and computer science have suggested that modeling individual differences may improve the performance of automatic deception detection systems. In this study, we fuse a personality classifier with a deception classifier and evaluate various ways to combine the two tasks, either as a single... | null | null |
mixdorff18_interspeech | Cross-cultural (A)symmetries in Audio-visual Attitude Perception | [
"Hansjörg Mixdorff",
"Albert Rilliard",
"Tan Lee",
"Matthew K. H. Ma",
"Angelika Hönemann"
] | https://www.isca-archive.org/interspeech_2018/mixdorff18_interspeech.html | https://www.isca-archive.org/interspeech_2018/mixdorff18_interspeech.pdf | 10.21437/Interspeech.2018-1373 | 426-430 | @inproceedings{mixdorff18_interspeech,
title = {{Cross-cultural (A)symmetries in Audio-visual Attitude Perception}},
author = {Hansjörg Mixdorff and Albert Rilliard and Tan Lee and Matthew K. H. Ma and Angelika Hönemann},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {426--430},
... | This paper evaluates results from a cross-cultural and cross-language experiment series employing short audio-visual utterances produced with varying attitudinal expressions. German and Cantonese-speaking participants freely labeled such utterances in the two languages and assigned to each stimulus a verbal label. Base... | null | null |
haider18_interspeech | An Active Feature Transformation Method for Attitude Recognition of Video Bloggers | [
"Fasih Haider",
"Fahim A. Salim",
"Owen Conlan",
"Saturnino Luz"
] | https://www.isca-archive.org/interspeech_2018/haider18_interspeech.html | https://www.isca-archive.org/interspeech_2018/haider18_interspeech.pdf | 10.21437/Interspeech.2018-1222 | 431-435 | @inproceedings{haider18_interspeech,
title = {{An Active Feature Transformation Method for Attitude Recognition of Video Bloggers}},
author = {Fasih Haider and Fahim {A. Salim} and Owen Conlan and Saturnino Luz},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {431--435},
doi ... | Video blogging is a form of unidirectional communication where a video blogger expresses his/her opinion about different issues. The success of a video blog is measured using metrics like the number of views and comments by online viewers. Researchers have highlighted the importance of non-verbal behaviours (e.g. attit... | null | null |
tsai18_interspeech | Automatic Assessment of Individual Culture Attribute of Power Distance Using a Social Context-Enhanced Prosodic Network Representation | [
"Fu-Sheng Tsai",
"Hao-Chun Yang",
"Wei-Wen Chang",
"Chi-Chun Lee"
] | https://www.isca-archive.org/interspeech_2018/tsai18_interspeech.html | https://www.isca-archive.org/interspeech_2018/tsai18_interspeech.pdf | 10.21437/Interspeech.2018-1523 | 436-440 | @inproceedings{tsai18_interspeech,
title = {{Automatic Assessment of Individual Culture Attribute of Power Distance Using a Social Context-Enhanced Prosodic Network Representation}},
author = {Fu-Sheng Tsai and Hao-Chun Yang and Wei-Wen Chang and Chi-Chun Lee},
year = {2018},
booktitle = {{Interspee... | Culture is a collective social norm of human societies that often influences a person's values, thoughts and social behaviors during interactions at an individual level. In this work, we present a computational analysis toward automatic assessing an individual's culture attribute of power distance, i.e., a measure of h... | null | null |
kadiri18c_interspeech | Analysis and Detection of Phonation Modes in Singing Voice using Excitation Source Features and Single Frequency Filtering Cepstral Coefficients (SFFCC) | [
"Sudarsana Reddy Kadiri",
"Bayya Yegnanarayana"
] | https://www.isca-archive.org/interspeech_2018/kadiri18c_interspeech.html | https://www.isca-archive.org/interspeech_2018/kadiri18c_interspeech.pdf | 10.21437/Interspeech.2018-2502 | 441-445 | @inproceedings{kadiri18c_interspeech,
title = {{Analysis and Detection of Phonation Modes in Singing Voice using Excitation Source Features and Single Frequency Filtering Cepstral Coefficients (SFFCC)}},
author = {Sudarsana Reddy Kadiri and Bayya Yegnanarayana},
year = {2018},
booktitle = {{Interspe... | In this study, classification of the phonation modes in singing voice is carried out. Phonation modes in singing voice can be described using four categories: breathy, neutral, flow and pressed phonations. Previous studies on the classification of phonation modes use voice quality features derived from inverse filterin... | null | null |
wu18b_interspeech | A Deep Learning Method for Pathological Voice Detection Using Convolutional Deep Belief Networks | [
"Huiyi Wu",
"John Soraghan",
"Anja Lowit",
"Gaetano Di-Caterina"
] | https://www.isca-archive.org/interspeech_2018/wu18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/wu18b_interspeech.pdf | 10.21437/Interspeech.2018-1351 | 446-450 | @inproceedings{wu18b_interspeech,
title = {{A Deep Learning Method for Pathological Voice Detection Using Convolutional Deep Belief Networks}},
author = {Huiyi Wu and John Soraghan and Anja Lowit and Gaetano Di-Caterina},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {446--450},
d... | Automatically detecting pathological voice disorders such as vocal cord paralysis or Reinkeâs edema is an important medical classification problem. While deep learning techniques have achieved significant progress in the speech recognition field, there has been less research work in the area of pathological voice dis... | null | null |
bhat18_interspeech | Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder | [
"Chitralekha Bhat",
"Biswajit Das",
"Bhavik Vachhani",
"Sunil Kumar Kopparapu"
] | https://www.isca-archive.org/interspeech_2018/bhat18_interspeech.html | https://www.isca-archive.org/interspeech_2018/bhat18_interspeech.pdf | 10.21437/Interspeech.2018-1754 | 451-455 | @inproceedings{bhat18_interspeech,
title = {{Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder}},
author = {Chitralekha Bhat and Biswajit Das and Bhavik Vachhani and Sunil Kumar Kopparapu},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {451--4... | Dysarthria is a manisfestation of the disruption in the neuro-muscular physiology resulting in uneven, slow, slurred, harsh or quiet speech. Dysarthric speech poses serious challenges to automatic speech recognition, considering this speech is difficult to decipher for both humans and machines. The objective of this wo... | null | null |
vasquezcorrea18_interspeech | A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease | [
"Juan Camilo Vásquez Correa",
"Tomas Arias",
"Juan Rafael Orozco-Arroyave",
"Elmar Nöth"
] | https://www.isca-archive.org/interspeech_2018/vasquezcorrea18_interspeech.html | https://www.isca-archive.org/interspeech_2018/vasquezcorrea18_interspeech.pdf | 10.21437/Interspeech.2018-1988 | 456-460 | @inproceedings{vasquezcorrea18_interspeech,
title = {{A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease}},
author = {Juan Camilo {Vásquez Correa} and Tomas Arias and Juan Rafael Orozco-Arroyave and Elmar Nöth},
year = {2018},
booktitle = {{Intersp... | Parkinson's disease is a neurodegenerative disorder characterized by a variety of motor and non-motor symptoms. Particularly, several speech impairments appear in the initial stages of the disease, which affect aspects related to respiration and the movement of muscles and limbs in the vocal tract. Most of the studies ... | null | null |
lilley18_interspeech | The Use of Machine Learning and Phonetic Endophenotypes to Discover Genetic Variants Associated with Speech Sound Disorder | [
"Jason Lilley",
"Erin Crowgey",
"H Timothy Bunnell"
] | https://www.isca-archive.org/interspeech_2018/lilley18_interspeech.html | https://www.isca-archive.org/interspeech_2018/lilley18_interspeech.pdf | 10.21437/Interspeech.2018-2398 | 461-465 | @inproceedings{lilley18_interspeech,
title = {{The Use of Machine Learning and Phonetic Endophenotypes to Discover Genetic Variants Associated with Speech Sound Disorder}},
author = {Jason Lilley and Erin Crowgey and H Timothy Bunnell},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = ... | Thirty-four (34) children with reported speech sound disorders (SSD) were recruited for a prior study, as well as 31 of their siblings, many of whom also showed SSD. Using data-clustering techniques, we assigned each child to one or more endophenotypes defined by the number and type of speech errors made on the GFTA-2.... | null | null |
moore18_interspeech | Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems | [
"Meredith Moore",
"Hemanth Venkateswara",
"Sethuraman Panchanathan"
] | https://www.isca-archive.org/interspeech_2018/moore18_interspeech.html | https://www.isca-archive.org/interspeech_2018/moore18_interspeech.pdf | 10.21437/Interspeech.2018-2391 | 466-470 | @inproceedings{moore18_interspeech,
title = {{Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems}},
author = {Meredith Moore and Hemanth Venkateswara and Sethuraman Panchanathan},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {466--470},
doi ... | Speech is a complex process that can break in many different ways and lead to a variety of voice disorders. Dysarthria is a voice disorder where individuals are unable to control one or more of the aspects of speechâthe articulation, breathing, voicing, or prosodyâleading to less intelligible speech. In this paper,... | null | null |
vachhani18_interspeech | Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition | [
"Bhavik Vachhani",
"Chitralekha Bhat",
"Sunil Kumar Kopparapu"
] | https://www.isca-archive.org/interspeech_2018/vachhani18_interspeech.html | https://www.isca-archive.org/interspeech_2018/vachhani18_interspeech.pdf | 10.21437/Interspeech.2018-1751 | 471-475 | @inproceedings{vachhani18_interspeech,
title = {{Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition}},
author = {Bhavik Vachhani and Chitralekha Bhat and Sunil Kumar Kopparapu},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {471--475},
doi = {10.21437/I... | Dysarthria refers to a speech disorder caused by trauma to the brain areas concerned with motor aspects of speech giving rise to effortful, slow, slurred or prosodically abnormal speech. Traditional Automatic Speech Recognizers (ASR) perform poorly on dysarthric speech recognition tasks, owing mostly to insufficient dy... | null | null |
ding18b_interspeech | Improving Sparse Representations in Exemplar-Based Voice Conversion with a Phoneme-Selective Objective Function | [
"Shaojin Ding",
"Guanlong Zhao",
"Christopher Liberatore",
"Ricardo Gutierrez-Osuna"
] | https://www.isca-archive.org/interspeech_2018/ding18b_interspeech.html | https://www.isca-archive.org/interspeech_2018/ding18b_interspeech.pdf | 10.21437/Interspeech.2018-1272 | 476-480 | @inproceedings{ding18b_interspeech,
title = {{Improving Sparse Representations in Exemplar-Based Voice Conversion with a Phoneme-Selective Objective Function}},
author = {Shaojin Ding and Guanlong Zhao and Christopher Liberatore and Ricardo Gutierrez-Osuna},
year = {2018},
booktitle = {{Interspeech ... | The acoustic quality of exemplar-based voice conversion (VC) degrades whenever the phoneme labels of the selected exemplars do not match the phonetic content of the frame being represented. To address this issue, we propose a Phoneme-Selective Objective Function (PSOF) that promotes a sparse representation of each spee... | null | null |
ding18c_interspeech | Learning Structured Dictionaries for Exemplar-based Voice Conversion | [
"Shaojin Ding",
"Christopher Liberatore",
"Ricardo Gutierrez-Osuna"
] | https://www.isca-archive.org/interspeech_2018/ding18c_interspeech.html | https://www.isca-archive.org/interspeech_2018/ding18c_interspeech.pdf | 10.21437/Interspeech.2018-1295 | 481-485 | @inproceedings{ding18c_interspeech,
title = {{Learning Structured Dictionaries for Exemplar-based Voice Conversion}},
author = {Shaojin Ding and Christopher Liberatore and Ricardo Gutierrez-Osuna},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {481--485},
doi = {10.21437/Int... | Incorporating phonetic information has been shown to improve the performance of exemplar-based voice conversion. A standard approach is to build a phonetically structured dictionary, where exemplars are categorized into sub-dictionaries according to their phoneme labels. However, acquiring phoneme labels can be expensi... | null | null |
peng18_interspeech | Exemplar-Based Spectral Detail Compensation for Voice Conversion | [
"Yu-Huai Peng",
"Hsin-Te Hwang",
"Yichiao Wu",
"Yu Tsao",
"Hsin-Min Wang"
] | https://www.isca-archive.org/interspeech_2018/peng18_interspeech.html | https://www.isca-archive.org/interspeech_2018/peng18_interspeech.pdf | 10.21437/Interspeech.2018-1662 | 486-490 | @inproceedings{peng18_interspeech,
title = {{Exemplar-Based Spectral Detail Compensation for Voice Conversion}},
author = {Yu-Huai Peng and Hsin-Te Hwang and Yichiao Wu and Yu Tsao and Hsin-Min Wang},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {486--490},
doi = {10.21437/... | Most voice conversion (VC) systems are established under the vocoder-based VC framework. When performing spectral conversion (SC) under this framework, the low-dimensional spectral features, such as mel-ceptral coefficients (MCCs), are often adopted to represent the high-dimensional spectral envelopes. The joint densit... | null | null |
meenakshi18_interspeech | Whispered Speech to Neutral Speech Conversion Using Bidirectional LSTMs | [
"G. Nisha Meenakshi",
"Prasanta Kumar Ghosh"
] | https://www.isca-archive.org/interspeech_2018/meenakshi18_interspeech.html | https://www.isca-archive.org/interspeech_2018/meenakshi18_interspeech.pdf | 10.21437/Interspeech.2018-1487 | 491-495 | @inproceedings{meenakshi18_interspeech,
title = {{Whispered Speech to Neutral Speech Conversion Using Bidirectional LSTMs}},
author = {G. Nisha Meenakshi and Prasanta Kumar Ghosh},
year = {2018},
booktitle = {{Interspeech 2018}},
pages = {491--495},
doi = {10.21437/Interspeech.2018-148... | We propose a bidirectional long short-term memory (BLSTM) based whispered speech to neutral speech conversion system that employs the STRAIGHT speech synthesizer. We use a BLSTM to map the spectral features of whispered speech to those of neutral speech. Three other BLSTMs are employed to predict the pitch, periodicity... | null | null |
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