Build an ethically-sourced, diverse, AI-ready database of 10 000 human voices linked to health information across five disease categories: cardio-respiratory, mood, pediatric speech, voice, and neurological disorders. The consortium develops standards for acoustic research data, technical infrastructure for collection / storage / sharing, ethical guidelines, and educational dissemination. The lab maintains b2aiprep (data packaging) and contributes to the protocol design, ethics, and pediatric arm.
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Publications
Bélisle-Pipon JC, Anibal J, Bahr R, Bedrick S, Coleman O, Dorr D, Evans BJ, Fagherazzi G, Gelbard A, Ghosh S, Ho A, Jackson C, Joachim D, Kourtis L, Krussel A, Lahav A, Leuze B, MacDonald B, Miller G, Mohan V, Naunheim M, Powell M, Rameau A, Ramphal S, Ravitsky V, Reavis C, Salvi Cruz S, Toghranegar J, Vogel A, Watts S, Yracheta J, Zhao R, Bridge2AI-Voice Consortium, Bensoussan Y
Moothedan E, Boyer M, Watts S, Abdel-Aty Y, Ghosh S, Rameau A, Sigaras A, Elemento O, Bridge2AI-Voice Consortium, Bensoussan Y
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