191 citations · 196 across the 4 of their papers we have counts for
4 papers
LiMuSE: Lightweight Multi-modal Speaker Extraction
Qinghua Liu, Yating Huang, Yunzhe Hao +2
Multi-modal cues, including spatial information, facial expression and voiceprint, are introduced to the speech separation and speaker extraction tasks to serve as complementary in…
WASE: Learning When to Attend for Speaker Extraction in Cocktail Party Environments
Yunzhe Hao, Jiaming Xu, Peng Zhang +1
In the speaker extraction problem, it is found that additional information from the target speaker contributes to the tracking and extraction of the target speaker, which includes…
Audio-visual Speech Separation with Adversarially Disentangled Visual Representation
Peng Zhang, Jiaming Xu, Jing shi +2
Speech separation aims to separate individual voice from an audio mixture of multiple simultaneous talkers. Although audio-only approaches achieve satisfactory performance, they bu…
A Biologically Plausible Supervised Learning Method for Spiking Neural Networks Using the Symmetric STDP Rule
Yunzhe Hao, Xuhui Huang, Meng Dong +1
Spiking neural networks (SNNs) possess energy-efficient potential due to event-based computation. However, supervised training of SNNs remains a challenge as spike activities are n…