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LibriPhrase Eval Set
Official test/evaluation dataset for LibriPhrase, the short-phrase benchmark for open-vocabulary keyword spotting introduced in:
Shin, J., Lee, J., Ko, S., Han, J., & Berg-Kirkpatrick, T. (2022). Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting. Interspeech 2022. arXiv:2206.15400 — https://arxiv.org/abs/2206.15400
This upload is a verbatim copy of the official test data distributed by the authors on Google Drive: https://drive.google.com/drive/folders/1pv3wVYzhSwDsL1dIQk93zmFBZg458ujE (source repo: https://github.com/gusrud1103/LibriPhrase). All credit belongs to the original authors; this dataset is re-hosted on the Hub for convenience and reproducibility. Please cite the paper above if you use it.
Contents
The repo preserves the original Google Drive top-level structure:
E4rris/LibriPhrase_evalset/
├── train-other-500/ # 136,461 short-phrase wav clips
│ └── train-other-500/
│ └── <speaker-id>/<chapter-id>/<speaker>-<chapter>-<utterance>_<n>.wav
└── evaluation_set/ # episode manifests (anchor / comparison pairs)
├── libriphrase_diffspk_all_1word.csv # 118,557 pairs
├── libriphrase_diffspk_all_2word.csv # 70,335 pairs
├── libriphrase_diffspk_all_3word.csv # 12,609 pairs
└── libriphrase_diffspk_all_4word.csv # 1,512 pairs
The train-other-500/ branch is generated from the LibriSpeech train-other-500
subset. Files follow the LibriSpeech layout
<speaker>/<chapter>/<speaker>-<chapter>-<utterance>_<phrase-index>.wav, where the
_<phrase-index> suffix identifies which short phrase (1–4 words) was segmented from
that utterance.
CSV schema
Each CSV row is one anchor/comparison pair. Columns:
| column | description |
|---|---|
anchor |
path to the anchor wav (the enrolled keyword audio) |
anchor_spk |
LibriSpeech speaker id of the anchor |
anchor_text |
text transcript of the anchor phrase |
anchor_dur |
anchor duration in seconds |
comparison |
path to the comparison wav |
comparison_spk |
LibriSpeech speaker id of the comparison |
comparison_text |
text transcript of the comparison phrase |
comparison_dur |
comparison duration in seconds |
type |
pair type, e.g. diffspk_easyneg, diffspk_hardneg, etc. |
target |
1 if the comparison is a positive match for the anchor, 0 otherwise |
class |
class label used in the paper's evaluation protocol |
The diffspk_* prefix means the anchor and comparison are spoken by different
speakers. Easy / hard negatives (easyneg / hardneg) are split by Levenshtein
distance between the anchor and comparison transcripts, giving the LibriPhrase
Easy (LPE) and LibriPhrase Hard (LPH) subsets from the paper.
Intended use
Evaluating open-vocabulary keyword spotting / query-by-example systems on short (1–4 word) phrases. Each CSV is a slice by phrase length; a full evaluation typically aggregates results across all four. Positive/negative pairs and the easy/hard split let you report AUC / EER consistently with the paper.
Citation
@inproceedings{shin2022libriphrase,
title = {Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting},
author = {Shin, Ju-Hee and Lee, Joonhyun and Ko, Seunghyun and Han, Jounyeol and Berg-Kirkpatrick, Taylor},
booktitle = {Proceedings of Interspeech},
year = {2022}
}
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