ICASSP 2023

LEARNING DEPENDENCIES OF DISCRETE SPEECH REPRESENTATIONS WITH NEURAL HIDDEN MARKOV MODELS

SUPERVISED CONTRASTIVE LEARNING AS MULTI-OBJECTIVE OPTIMIZATION FOR FINE-TUNING LARGE PRE-TRAINED LANGUAGE MODELS

Unsupervised domain adaptation for preference learning based speech emotion recognition

An Augmented Gaussian Sum Filter Through a Mixture Decomposition

Contrastive Self-Supervised Learning for Automated Multi-Modal Dance Performance Assessment

SG-VAD: STOCHASTIC GATES BASED SPEECH ACTIVITY DETECTION

Automatic Error Detection in Integrated Circuits Image Segmentation: A Data-driven Approach

End-to-end spoken language understanding using joint CTC loss and self-supervised, pretrained acoustic encoders

Anomalous signal detection for cyber-physical systems using interpretable causal neural network

On the primal and dual formulations of the Discrete Mumford-Shah functional

Abstract Representation for Multi-Intent Spoken Language Understanding

CSM in Motion Vector Steganalysis: The Effect of Coders on Motion Vectors in H.264 Video Encoding