Longbiao Wang

Continuous-target modeling reveals a shared semantic mapping process in speech recognition and translation, challenging conventional discrete token generation approaches.

Overcome Alzheimer's speech detection's data scarcity with FAL-AD, a federated learning framework that hits 91.52% accuracy by generating synthetic speech samples and aligning acoustic and textual features.