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

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 dataset also includes audio data from an airborne microphone used as a reference. The Vibravox corpus contains 45 hours per sensor of speech samples and physiological sounds recorded by 188 participants under different acoustic conditions imposed by a 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.

@article{hauret2025_2407.11828,
  title={ Vibravox: A Dataset of French Speech Captured with Body-conduction Audio Sensors },
  author={ Julien Hauret and Malo Olivier and Thomas Joubaud and Christophe Langrenne and Sarah Poirée and Véronique Zimpfer and Éric Bavu },
  journal={arXiv preprint arXiv:2407.11828},
  year={ 2025 }
}