metadata

dataset_info:
  - config_name: speech_clean
    features:
      - name: audio.headset_microphone
        dtype: audio
      - name: audio.forehead_accelerometer
        dtype: audio
      - name: audio.soft_in_ear_microphone
        dtype: audio
      - name: audio.rigid_in_ear_microphone
        dtype: audio
      - name: audio.temple_vibration_pickup
        dtype: audio
      - name: audio.throat_microphone
        dtype: audio
      - name: gender
        dtype: string
      - name: speaker_id
        dtype: string
      - name: sentence_id
        dtype: int64
      - name: duration
        dtype: float64
      - name: raw_text
        dtype: string
      - name: normalized_text
        dtype: string
      - name: phonemized_text
        dtype: string
    splits:
      - name: train
        num_bytes: 57239647786.572
        num_examples: 22109
      - name: validation
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        num_examples: 2594
      - name: test
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        num_examples: 3148
    download_size: 66375643193
    dataset_size: 72107816342.59601
  - config_name: speech_noisy
    features:
      - name: audio.headset_microphone
        dtype: audio
      - name: audio.forehead_accelerometer
        dtype: audio
      - name: audio.soft_in_ear_microphone
        dtype: audio
      - name: audio.rigid_in_ear_microphone
        dtype: audio
      - name: audio.temple_vibration_pickup
        dtype: audio
      - name: audio.throat_microphone
        dtype: audio
      - name: gender
        dtype: string
      - name: speaker_id
        dtype: string
      - name: sentence_id
        dtype: int64
      - name: duration
        dtype: float64
      - name: raw_text
        dtype: string
      - name: normalized_text
        dtype: string
      - name: phonemized_text
        dtype: string
    splits:
      - name: train
        num_bytes: 3260647443.04
        num_examples: 1220
      - name: validation
        num_bytes: 353119911
        num_examples: 132
      - name: test
        num_bytes: 468657110
        num_examples: 175
    download_size: 3994572339
    dataset_size: 4082424464.04
  - config_name: speechless_clean
    features:
      - name: audio.headset_microphone
        dtype: audio
      - name: audio.forehead_accelerometer
        dtype: audio
      - name: audio.soft_in_ear_microphone
        dtype: audio
      - name: audio.rigid_in_ear_microphone
        dtype: audio
      - name: audio.temple_vibration_pickup
        dtype: audio
      - name: audio.throat_microphone
        dtype: audio
      - name: gender
        dtype: string
      - name: speaker_id
        dtype: string
      - name: duration
        dtype: float64
    splits:
      - name: train
        num_bytes: 4642949710
        num_examples: 149
      - name: validation
        num_bytes: 560888172
        num_examples: 18
      - name: test
        num_bytes: 654396862
        num_examples: 21
    download_size: 3756127731
    dataset_size: 5858234744
  - config_name: speechless_noisy
    features:
      - name: audio.headset_microphone
        dtype: audio
      - name: audio.forehead_accelerometer
        dtype: audio
      - name: audio.soft_in_ear_microphone
        dtype: audio
      - name: audio.rigid_in_ear_microphone
        dtype: audio
      - name: audio.temple_vibration_pickup
        dtype: audio
      - name: audio.throat_microphone
        dtype: audio
      - name: gender
        dtype: string
      - name: speaker_id
        dtype: string
      - name: duration
        dtype: float64
    splits:
      - name: train
        num_bytes: 12361663282
        num_examples: 149
      - name: validation
        num_bytes: 1493307756
        num_examples: 18
      - name: test
        num_bytes: 1742266618
        num_examples: 21
    download_size: 14034848650
    dataset_size: 15597237656
configs:
  - config_name: speech_clean
    data_files:
      - split: train
        path: speech_clean/train-*
      - split: validation
        path: speech_clean/validation-*
      - split: test
        path: speech_clean/test-*
  - config_name: speech_noisy
    data_files:
      - split: train
        path: speech_noisy/train-*
      - split: validation
        path: speech_noisy/validation-*
      - split: test
        path: speech_noisy/test-*
  - config_name: speechless_clean
    data_files:
      - split: train
        path: speechless_clean/train-*
      - split: validation
        path: speechless_clean/validation-*
      - split: test
        path: speechless_clean/test-*
  - config_name: speechless_noisy
    data_files:
      - split: train
        path: speechless_noisy/train-*
      - split: validation
        path: speechless_noisy/validation-*
      - split: test
        path: speechless_noisy/test-*
language:
  - fr

Dataset Card for non-curated VibraVox

👀 This is the non-curated version of the VibraVox dataset. For a full documentation and dataset usage, please refer to https://huggingface.co/datasets/Cnam-LMSSC/vibravox

DATASET SUMMARY

The VibraVox dataset is a general purpose audio dataset of french speech captured with body-conduction transducers. This dataset can be used for various audio machine learning tasks :

Automatic Speech Recognition (ASR) (Speech-to-Text , Speech-to-Phoneme)
Audio Bandwidth Extension (BWE)
Speaker Verification (SPKV) / identification
Voice cloning
etc ...

Citations, links and details

Homepage: For more information about the project, visit our project page on https://vibravox.cnam.fr
Github repository: jhauret/vibravox : Source code for ASR, BWE and SPKV tasks using the Vibravox dataset
Published paper: available (Open Access) on Speech Communication and arXiV
Point of Contact: Julien Hauret and Éric Bavu
Curated by: AVA Team of the LMSSC Research Laboratory
Funded by: Agence Nationale Pour la Recherche / AHEAD Project
Language: French
License: Creative Commons Attributions 4.0

If you use the Vibravox dataset (either curated or non-curated versions) for research, cite this paper :

@article{hauret2025vibravox,
      title={{Vibravox: A dataset of french speech captured with body-conduction audio sensors}},
      author={{Hauret, Julien and Olivier, Malo and Joubaud, Thomas and Langrenne, Christophe and
        Poir{\'e}e, Sarah and Zimpfer, V{\'e}ronique and Bavu, {\'E}ric},
      journal={Speech Communication},
      pages={103238},
      year={2025},
      publisher={Elsevier}
}

and this repository, which is linked to a DOI :

@misc{cnamlmssc2024vibravoxdataset,
    author={Hauret, Julien and Olivier, Malo and Langrenne, Christophe and
        Poir{\'e}e, Sarah and Bavu, {\'E}ric},
    title        = { {Vibravox} (Revision 7990b7d) },
    year         = 2024,
    url          = { https://huggingface.co/datasets/Cnam-LMSSC/vibravox },
    doi          = { 10.57967/hf/2727 },
    publisher    = { Hugging Face }
}