1 citations · 1 across the 2 of their papers we have counts for
3 papers
SLAP: Learning Speaker and Health-Related Representations from Natural Language Supervision
Angelika Ando, Auguste Crabeil, Adrien Lesage +1
Speech encodes paralinguistic information such as demographics, voice quality, and health. Yet no audio foundation model supports zero-shot or out-of-distribution (OOD) generalizat…
Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for audio
Tu Duyen Nguyen, Adrien Lesage, Clotilde Cantini +1
Audio and speech data are increasingly used in machine learning applications such as speech recognition, speaker identification, and mental health monitoring. However, the passive…
Probing mental health information in speech foundation models
Marc de Gennes, Adrien Lesage, Martin Denais +5
Non-invasive methods for diagnosing mental health conditions, such as speech analysis, offer promising potential in modern medicine. Recent advancements in machine learning, partic…