80 citations · 106 across the 17 of their papers we have counts for
18 papers · 1 filter
Deep Audio Zooming: Beamwidth-Controllable Neural Beamformer
Meng Yu, Dong Yu
Audio zooming, a signal processing technique, enables selective focusing and enhancement of sound signals from a specified region, attenuating others. While traditional beamforming…
NeuralEcho: A Self-Attentive Recurrent Neural Network For Unified Acoustic Echo Suppression And Speech Enhancement
Meng Yu, Yong Xu, Chunlei Zhang +2
Acoustic echo cancellation (AEC) plays an important role in the full-duplex speech communication as well as the front-end speech enhancement for recognition in the conditions when…
MetricNet: Towards Improved Modeling For Non-Intrusive Speech Quality Assessment
Meng Yu, Chunlei Zhang, Yong Xu +2
The objective speech quality assessment is usually conducted by comparing received speech signal with its clean reference, while human beings are capable of evaluating the speech q…
Towards Robust Speaker Verification with Target Speaker Enhancement
Chunlei Zhang, Meng Yu, Chao Weng +1
This paper proposes the target speaker enhancement based speaker verification network (TASE-SVNet), an all neural model that couples target speaker enhancement and speaker embeddin…
TeCANet: Temporal-Contextual Attention Network for Environment-Aware Speech Dereverberation
Helin Wang, Bo Wu, Lianwu Chen +7
In this paper, we exploit the effective way to leverage contextual information to improve the speech dereverberation performance in real-world reverberant environments. We propose…
Self-supervised Text-independent Speaker Verification using Prototypical Momentum Contrastive Learning
Wei Xia, Chunlei Zhang, Chao Weng +2
In this study, we investigate self-supervised representation learning for speaker verification (SV). First, we examine a simple contrastive learning approach (SimCLR) with a moment…