  Vibravox is a dataset compliant with the General Data Protection Regulation
(GDPR) containing audio recordings using five different body-conduction audio
sensors : two in-ear microphones, two bone conduction vibration pickups and a
laryngophone. The data set also includes audio data from an airborne microphone
used as a reference. The Vibravox corpus contains 38 hours of speech samples
and physiological sounds recorded by 188 participants under different acoustic
conditions imposed by an high order ambisonics 3D spatializer. Annotations
about the recording conditions and linguistic transcriptions are also included
in the corpus. We conducted a series of experiments on various speech-related
tasks, including speech recognition, speech enhancement and speaker
verification. These experiments were carried out using state-of-the-art models
to evaluate and compare their performances on signals captured by the different
audio sensors offered by the Vibravox dataset, with the aim of gaining a better
grasp of their individual characteristics.
