metadata
annotations_creators:
- machine-generated
language:
- fr
language_creators:
- crowdsourced
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
- 10K<n<100K
source_datasets:
- facebook/multilingual_librispeech
task_categories:
- automatic-speech-recognition
- text-to-speech
pretty_name: Multilingual LibriSpeech French (Phonemized & Curated)
tags:
- audio
- speech
- phonemes
- ipa
- french
- mls
- librispeech
- cnam-lmssc
Multilingual LibriSpeech French Phoneme
Dataset Description
- Repository: Cnam-LMSSC/multilingual_librispeech_french_phoneme
- Point of Contact: Cnam-LMSSC Team
Dataset Summary
This dataset is a curated version of the French subset of Multilingual LibriSpeech (MLS), enriched with a phonetic transcription column (phoneme).
The Laboratoire de Mécanique des Structures et des Systèmes Couplés (Cnam-LMSSC) created this version to facilitate research into French acoustic modeling, phoneme recognition, and speech synthesis. It builds upon the high-quality audio derived from LibriVox audiobooks found in the original MLS dataset.
Supported Tasks
- Phoneme Recognition: Training models to map audio features directly to IPA phonemes.
- Automatic Speech Recognition (ASR): Robust speech-to-text tasks using audiobook data.
- Text-to-Speech (TTS): Utilizing the high-quality, read-speech nature of LibriSpeech for synthesis.
Languages
The dataset contains audio in French (fr).
Dataset Structure
Data Instances
A typical data point contains the audio, metadata about the speaker and chapter (derived from LibriVox), the original text, and the generated phonetic transcription.
{
'id': '1234_5678_00001',
'audio': {
'path': '1234_5678_00001.flac',
'array': array([-0.012, 0.045, ...], dtype=float32),
'sampling_rate': 16000
},
'text': "IL EST TEMPS DE PARTIR",
'phoneme': "i l ɛ t ɑ̃ d ə p a ʁ t i ʁ",
'speaker_id': 1234,
'chapter_id': 5678,
}