5 papers
CaSNet: Compress-and-Send Network Based Multi-Device Speech Enhancement Model for Distributed Microphone Arrays
Chengqian Jiang, Jie Zhang, Haoyin Yan
Distributed microphone array (DMA) is a promising next-generation platform for speech interaction, where speech enhancement (SE) is still required to improve the speech quality in…
LABNet: A Lightweight Attentive Beamforming Network for Ad-hoc Multichannel Microphone Invariant Real-Time Speech Enhancement
Haoyin Yan, Jie Zhang, Chengqian Jiang +1
Multichannel speech enhancement (SE) aims to restore clean speech from noisy measurements by leveraging spatiotemporal signal features. In ad-hoc array conditions, microphone invar…
A Composite Predictive-Generative Approach to Monaural Universal Speech Enhancement
Jie Zhang, Haoyin Yan, Xiaofei Li
It is promising to design a single model that can suppress various distortions and improve speech quality, i.e., universal speech enhancement (USE). Compared to supervised learning…
LiSenNet: Lightweight Sub-band and Dual-Path Modeling for Real-Time Speech Enhancement
Haoyin Yan, Jie Zhang, Cunhang Fan +2
Speech enhancement (SE) aims to extract the clean waveform from noise-contaminated measurements to improve the speech quality and intelligibility. Although learning-based methods c…
The USTC-NERCSLIP Systems for The ICMC-ASR Challenge
Minghui Wu, Luzhen Xu, Jie Zhang +15
This report describes the submitted system to the In-Car Multi-Channel Automatic Speech Recognition (ICMC-ASR) challenge, which considers the ASR task with multi-speaker overlappin…