Signal Processing for Communications and Networking

DEEP LEARNING-BASED PATH LOSS PREDICTION FOR OUTDOOR WIRELESS COMMUNICATION SYSTEMS

Ensemble and personalized Transformer models for subject identification and relapse detection in e-Prevention Challenge

Speech Signal Improvement Using Causal Generative Diffusion Models

A Transformer-Based E2E SLU model for Improved Semantic Parsing

Half-temporal and half-frequency attention U2Net for speech signal improvement

Decoding Auditory EEG Responses using an Adapted WaveNet

Agile Radio Map Prediction Using Deep Learning

A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge

Multi-Channel Speaker Extraction with Adversarial Training: the Wavlab submission to the Clarity ICASSP 2023 Grand Challenge

PMNet: Large-Scale Channel Prediction System for ICASSP 2023 First Pathloss Radio Map Prediction Challenge

The pipeline system of ASR and NLU with MLM-based data augmentation toward STOP low-resource challenge

Exploring Language-Agnostic Speech Representations using Domain Knowledge for Detecting Alzheimer's Dementia