Showing 2025Show all
2 papers · 1 filter
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…