ICASSP 2022

MULTI-SPEAKER PITCH TRACKING VIA EMBODIED SELF-SUPERVISED LEARNING

IMPROVING THE CLASSIFICATION OF PHONETIC SEGMENTS FROM RAW ULTRASOUND USING SELF-SUPERVISED LEARNING AND HARD EXAMPLE MINING

IMPROVING BIOMEDICAL NAMED ENTITY RECOGNITION WITH A UNIFIED MULTI-TASK MRC FRAMEWORK

PRIVACY-PRESERVING FEDERATED MULTI-TASK LINEAR REGRESSION: A ONE-SHOT LINEAR MIXING APPROACH INSPIRED BY GRAPH REGULARIZATION

KNOWLEDGE DISTILLATION FROM LANGUAGE MODEL TO ACOUSTIC MODEL: A HIERARCHICAL MULTI-TASK LEARNING APPROACH

Ada-JSR: SAMPLE EFFICIENT ADAPTIVE JOINT SUPPORT RECOVERY FROM EXTREMELY COMPRESSED MEASUREMENT VECTORS

WATERMARKING IMAGES IN SELF-SUPERVISED LATENT SPACES

WAV2CLIP: LEARNING ROBUST AUDIO REPRESENTATIONS FROM CLIP

KNOWLEDGE TRANSFER FROM LARGE-SCALE PRETRAINED LANGUAGE MODELS TO END-TO-END SPEECH RECOGNIZERS

END-TO-END MUSIC REMASTERING SYSTEM USING SELF-SUPERVISED AND ADVERSARIAL TRAINING

MRI RECOVERY WITH A SELF-CALIBRATED DENOISER

MULTILINGUAL TEXT-TO-SPEECH TRAINING USING CROSS LANGUAGE VOICE CONVERSION AND SELF-SUPERVISED LEARNING OF SPEECH REPRESENTATIONS