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dtype: string
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- name: variant
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dtype: string
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- name: phoneme
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dtype: string
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splits:
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- name: train
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num_bytes: 15977605590.18895
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num_examples: 399941
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- name: validation
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num_bytes: 549625277.958716
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num_examples: 12738
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- name: test
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num_bytes: 547038507.8427985
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num_examples: 12693
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download_size: 15657690320
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dataset_size: 17074269375.990463
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: validation
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path: data/validation-*
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- split: test
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path: data/test-*
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---
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annotations_creators:
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- crowdsourced
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- machine-generated
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language:
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- fr
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language_creators:
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- crowdsourced
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license: cc-by-4.0
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multilinguality:
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- monolingual
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size_categories:
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- 100K<n<1M
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source_datasets:
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- mozilla-foundation/common_voice_13_0
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task_categories:
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- automatic-speech-recognition
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- text-to-speech
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pretty_name: Common Voice 13 French (Phonemized & Curated)
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tags:
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- audio
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- speech
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- phonemes
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- ipa
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- french
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- cnam-lmssc
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---
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# Dataset Card for Common Voice 13 French Phoneme
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## Table of Contents
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- [Dataset Description](#dataset-description)
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- [Dataset Structure](#dataset-structure)
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- [Curation & Phonemization](#curation--phonemization)
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- [Usage](#usage)
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- [Additional Information](#additional-information)
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## Dataset Description
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- **Repository:** [Cnam-LMSSC/common_voice_13_french_phoneme](https://huggingface.co/datasets/Cnam-LMSSC/common_voice_13_french_phoneme)
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- **Leaderboard:** N/A
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- **Point of Contact:** [Cnam-LMSSC Team](https://huggingface.co/Cnam-LMSSC)
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### Dataset Summary
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This dataset is a **curated version of the French subset of Common Voice 13.0**, enriched with a phonetic transcription column (`phoneme`).
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It was created by the **Laboratoire de Mécanique des Structures et des Systèmes Couplés (Cnam-LMSSC)** to support research in speech processing, specifically for tasks requiring phonetic alignment, phoneme recognition, and robust speech-to-text applications in French.
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The dataset retains the original audio and metadata from Common Voice but adds valid IPA (International Phonetic Alphabet) transcriptions and performs mild curation to ensure data quality (e.g., removing clips with zero duration or missing text).
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### Supported Tasks
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- **Phoneme Recognition:** Training models to transcribe audio directly into IPA phonemes.
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- **Automatic Speech Recognition (ASR):** Standard speech-to-text using the cleaned data.
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- **Text-to-Speech (TTS):** Using the phoneme-audio pairs for training acoustic models.
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### Languages
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The dataset contains audio in **French (`fr`)**.
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## Dataset Structure
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### Data Instances
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A typical data point comprises the path to the audio file, the audio array itself, the original sentence, and its phonetic transcription.
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```python
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{
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'client_id': 'd5d03...',
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'path': 'common_voice_fr_12345.mp3',
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'audio': {
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'path': 'common_voice_fr_12345.mp3',
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'array': array([-0.0002, 0.0005, ...], dtype=float32),
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'sampling_rate': 48000
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},
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'sentence': "Bonjour, comment allez-vous ?",
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'phoneme': "b ɔ̃ ʒ u ʁ k ɔ m ɑ̃ t a l e v u", # Example IPA
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'up_votes': 2,
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'down_votes': 0,
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'age': 'thirties',
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'gender': 'male',
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'accent': 'france'
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}
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