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---
annotations_creators:
- expert-generated
language_creators:
- crowdsourced
- expert-generated
language:
- fr
license: cc-by-4.0
multilinguality:
- monolingual
task_categories:
- audio-to-audio
- automatic-speech-recognition
- audio-classification
- text-to-speech
task_ids:
- speaker-identification
pretty_name: Vibravox
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: test
    num_bytes: 4879701252.0
    num_examples: 3064
  download_size: 4541794656
  dataset_size: 4879701252.0
configs:
- config_name: speech_clean
  data_files:
  - split: test
    path: speech_clean/test-*
---

## Dataset architecture

This dataset corresponds to the `test` split of the `speech_clean` subset of the [Vibravox](https://huggingface.co/datasets/Cnam-LMSSC/vibravox) dataset enhanced by [vibravox_EBEN_models](https://huggingface.co/Cnam-LMSSC/vibravox_EBEN_models).

Please refer to the respective models and dataset for more information.