3 papers
eess.AS2026
ARTT: Augmented Reverberant-Target Training for Unsupervised Monaural Speech Dereverberation
Siqi Song, Fulin Wu, Zhong-Qiu Wang
Due to the absence of clean reference signals and spatial cues, monaural unsupervised speech dereverberation is a challenging ill-posed inverse problem. To realize it, we propose a…
cs.SD2025
Unsupervised Multi-channel Speech Dereverberation via Diffusion
Yulun Wu, Zhongweiyang Xu, Jianchong Chen +2
We consider the problem of multi-channel single-speaker blind dereverberation, where multi-channel mixtures are used to recover the clean anechoic speech. To solve this problem, we…
eess.AS2025
ArrayDPS: Unsupervised Blind Speech Separation with a Diffusion Prior
Zhongweiyang Xu, Xulin Fan, Zhong-Qiu Wang +2
Blind Speech Separation (BSS) aims to separate multiple speech sources from audio mixtures recorded by a microphone array. The problem is challenging because it is a blind inverse…