Datasets:
metadata
license: cc-by-4.0
language:
- en
pretty_name: LibriSpeech Segment
task_categories:
- automatic-speech-recognition
tags:
- speech
- phone-alignment
- segmentation
- english
size_categories:
- 100K<n<1M
LibriSpeech Segment
English read-speech corpus with phone-level time alignments (Montreal Forced Aligner). Suitable for training and evaluating phone recognition and phonetic segmentation models.
Sources
- Audio: LibriSpeech (OpenSLR 12) by Vassil Panayotov, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur (2015).
- Phone alignments:
anyspeech/librispeech_MFA_alignments.
Splits
| Split | Utterances |
|---|---|
| train.clean.100 | 28,538 |
| train.clean.360 | 104,008 |
| train.other.500 | 148,645 |
| dev.clean | 2,703 |
| dev.other | 2,864 |
| test.clean | 2,620 |
| test.other | 2,938 |
Split labels follow the LibriSpeech canonical naming.
Schema
| Column | Type | Description |
|---|---|---|
utt_id |
string | Utterance id, e.g. 7635-105409-0022 |
audio |
Audio(16 kHz) | Embedded waveform bytes (decoded on access) |
text |
string | Word-level transcript (uppercase) |
phones |
sequence[string] | ARPABET phone tokens |
phone_starts |
sequence[float64] | Phone start times in seconds |
phone_ends |
sequence[float64] | Phone end times in seconds |
language |
string | eng (ISO 639-3) |
speaker_id |
string | LibriSpeech speaker id |
duration |
float64 | Utterance duration in seconds |
split |
string | LibriSpeech split label |
Phone inventory
Phones are ARPABET (e.g. DH, EH, R, AE, OW). Silence and pauses
are marked with [SIL] intervals, kept in the alignment so boundary models
can learn from them. [UNK] may also appear for OOV cases.
License
Released under the CC BY 4.0 license, matching the original LibriSpeech audio.
Citation
@inproceedings{panayotov2015librispeech,
title={Librispeech: an asr corpus based on public domain audio books},
author={Panayotov, Vassil and Chen, Guoguo and Povey, Daniel and Khudanpur, Sanjeev},
booktitle={2015 IEEE international conference on acoustics, speech and signal processing (ICASSP)},
pages={5206--5210},
year={2015},
organization={IEEE}
}