--- 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 Card
--- ## Description This dataset features a **speech-enhanced version** of the `test` split from the `speech_clean` subset of the [Vibravox Dataset](https://huggingface.co/datasets/Cnam-LMSSC/vibravox). **It is not intended for training**. ## Enhancement procedure The Bandwidth extension task has been individually achieved for each sensor using [configurable EBEN](https://ieeexplore.ieee.org/document/10244161) ([arXiv link](https://arxiv.org/abs/2303.10008)) models available at https://huggingface.co/Cnam-LMSSC/vibravox_EBEN_models. ## Ressources Results for speech-to-phoneme and speaker verification tasks using this enhanced dataset are available in our [paper](link/to/the/paper), and code is available at the [jhauret/vibravox](https://github.com/jhauret/vibravox) Github repository.