Omkar2118/datasets huggingface dataset:
VibraVox (rigid in-ear microphone)

This is the in-ear rigid earpiece-embedded microphone variant of the VibraVox dataset.

VibraVox aims at serving as a valuable resource for advancing the field of **body-conducted speech analysis** and facilitating the development of **robust communication systems for real-world applications**. This dataset, available on [HuggingFace](https://huggingface.co/datasets/Cnam-LMSSC/vibravox) 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 ...

The [VibraVox dataset](https://vibravox.cnam.fr) speech corpus has been released in July 2024. It includes french speech recorded simultaneously using multiple audio and vibration sensors : a forehead miniature vibration sensor, an in-ear comply foam-embedded microphone, an in-ear rigid earpiece-embedded microphone, a temple vibration pickup, a headset microphone located near the mouth, and a laryngophone. VibraVox has been recorded with 200 participants under various acoustic conditions imposed by a [5th order ambisonics spatialization sphere](https://vibravox.cnam.fr/documentation/hardware/sphere/index.html).

Introducing paper: Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors