18 citations · 21 across the 5 of their papers we have counts for
5 papers
X-SepFormer: End-to-end Speaker Extraction Network with Explicit Optimization on Speaker Confusion
Kai Liu, Ziqing Du, Xucheng Wan +1
Target speech extraction (TSE) systems are designed to extract target speech from a multi-talker mixture. The popular training objective for most prior TSE networks is to enhance r…
Improving Target Speaker Extraction with Sparse LDA-transformed Speaker Embeddings
Kai Liu, Xucheng Wan, Ziqing Du +1
As a practical alternative of speech separation, target speaker extraction (TSE) aims to extract the speech from the desired speaker using additional speaker cue extracted from the…
CGI-Stereo: Accurate and Real-Time Stereo Matching via Context and Geometry Interaction
Gangwei Xu, Huan Zhou, Xin Yang
In this paper, we propose CGI-Stereo, a novel neural network architecture that can concurrently achieve real-time performance, competitive accuracy, and strong generalization abili…
Joint Speech Activity and Overlap Detection with Multi-Exit Architecture
Ziqing Du, Kai Liu, Xucheng Wan +1
Overlapped speech detection (OSD) is critical for speech applications in scenario of multi-party conversion. Despite numerous research efforts and progresses, comparing with speech…
Speech Enhancement with Perceptually-motivated Optimization and Dual Transformations
Xucheng Wan, Kai Liu, Ziqing Du +1
To address the monaural speech enhancement problem, numerous research studies have been conducted to enhance speech via operations either in time-domain on the inner-domain learned…