automatic speech recognition

PERSONALIZED SPEECH ENHANCEMENT: NEW MODELS AND COMPREHENSIVE EVALUATION

RETRIEVING SPEAKER INFORMATION FROM PERSONALIZED ACOUSTIC MODELS FOR SPEECH RECOGNITION

IMPROVING CONFIDENCE ESTIMATION ON OUT-OF-DOMAIN DATA FOR END-TO-END SPEECH RECOGNITION

NON-AUTOREGRESSIVE TRANSFORMER WITH UNIFIED BIDIRECTIONAL DECODER FOR AUTOMATIC SPEECH RECOGNITION

MODEL-BASED APPROACH FOR MEASURING THE FAIRNESS IN ASR

Continual learning using lattice-free MMI for speech recognition

ALL-NEURAL BEAMFORMER FOR CONTINUOUS SPEECH SEPARATION

CLASSICAL-TO-QUANTUM TRANSFER LEARNING FOR SPOKEN COMMAND RECOGNITION BASED ON QUANTUM NEURAL NETWORKS

A TIME DOMAIN PROGRESSIVE LEARNING APPROACH WITH SNR CONSTRICTION FOR SINGLE-CHANNEL SPEECH ENHANCEMENT AND RECOGNITION

SPEAKER REINFORCEMENT USING TARGET SOURCE EXTRACTION FOR ROBUST AUTOMATIC SPEECH RECOGNITION

Integrating multiple ASR systems into NLP backend with attention fusion

A TWO-STEP APPROACH TO LEVERAGE CONTEXTUAL DATA: SPEECH RECOGNITION IN AIR-TRAFFIC COMMUNICATION