3 papers
cs.SD2025
Loud-loss: A Perceptually Motivated Loss Function for Speech Enhancement Based on Equal-Loudness Contours
Zixuan Li, Xueliang Zhang, Changjiang Zhao +5
The mean squared error (MSE) is a ubiquitous loss function for speech enhancement, but its problem is that the error cannot reflect the auditory perception quality. This is because…
cs.SD2025
Two-stage Audio-Visual Target Speaker Extraction System for Real-Time Processing On Edge Device
Zixuan Li, Xueliang Zhang, Lei Miao +3
Audio-Visual Target Speaker Extraction (AVTSE) aims to isolate a target speaker's voice in a multi-speaker environment with visual cues as auxiliary. Most of the existing AVTSE met…
cs.SD2024
Robust Target Speaker Direction of Arrival Estimation
Zixuan Li, Shulin He, Xueliang Zhang
In multi-speaker environments the direction of arrival (DOA) of a target speaker is key for improving speech clarity and extracting target speaker's voice. However, traditional DOA…