ParkMAE: a cross-linguistic masked autoencoder framework for robust Parkinson’s disease detection from speech

SLAP: Learning Speaker and Health-Related Representations from Natural Language Supervision

Quantized Approximate Signal Processing (QASP): Towards Homomorphic Encryption for audio

Robust fine-tuning of speech recognition models via model merging: application to disordered speech

In-context learning capabilities of Large Language Models to detect suicide risk among adolescents from speech transcripts

Automated speech content analysis to detect depression with large language models: towards multilingual and few-shot capabilities.

Learning Strides in Convolutional Neural Networks