| --- |
| 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](https://www.openslr.org/12/) (OpenSLR 12) by |
| Vassil Panayotov, Guoguo Chen, Daniel Povey, Sanjeev Khudanpur (2015). |
| - **Phone alignments**: |
| [`anyspeech/librispeech_MFA_alignments`](https://huggingface.co/datasets/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 |
|
|
| ```bibtex |
| @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} |
| } |
| ``` |
|
|
