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20182023
most citedEnd-to-End Multi-Channel Speech Separation

80 citations · 106 across the 17 of their papers we have counts for

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18 papers · 1 filter

eess.AS2023

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…

eess.AS20225 cited

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…

eess.AS20215 cited

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…

eess.AS2021

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…

eess.AS2021

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…

eess.AS20202 cited

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…