2026
Rethinking Speech Representation Aggregation in Speech Enhancement: a Phonetic Mutual Information Perspective
ICASSP 2026poster
Recent speech enhancement (SE) models increasingly leverage self-supervised learning (SSL) representations for their rich semantic information. Typically, intermediate features are aggregated into a single representation via a lightweight adaptation module. However, most SSL models are not trained f…