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 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 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.