ICASSP 2023

AN ADAPTER BASED MULTI-LABEL PRE-TRAINING FOR SPEECH SEPARATION AND ENHANCEMENT

Large-scale Language Model Rescoring on Long-form Data

CONTRASTIVE SPEECH MIXUP FOR LOW-RESOURCE KEYWORD SPOTTING

Low-Complexity Acoustic Echo Cancellation with Neural Kalman Filtering

LEARNING ON ENTROPY CODED IMAGES WITH CNN

ASYMMETRIC POLYNOMIAL LOSS FOR MULTI-LABEL CLASSIFICATION

An Approach to Ontological Learning from Weak Labels

RUMOR DETECTION VIA ASSESSING THE SPREADING PROPENSITY OF USERS

DEEP NETWORK SERIES FOR LARGE-SCALE HIGH-DYNAMIC RANGE IMAGING

TEXT-TO-SPEECH SYNTHESIS FROM DARK DATA WITH EVALUATION-IN-THE-LOOP DATA SELECTION

Towards improved sonar performance using environment-informed sparse sub-array processing

Learning Properties of Holomorphic Neural Networks of Dual Variables