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20152026
most citedCycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism

16 citations · 88 across the 30 of their papers we have counts for

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6 papers · 1 filter

eess.AS2026

SLD-L2S: Hierarchical Subspace Latent Diffusion for High-Fidelity Lip to Speech Synthesis

Yifan Liang, Andong Li, Kang Yang +5

Although lip-to-speech synthesis (L2S) has achieved significant progress in recent years, current state-of-the-art methods typically rely on intermediate representations such as me…

eess.AS2025

Rethinking the joint estimation of magnitude and phase for time-frequency domain neural vocoders

Lingling Dai, Andong Li, Tong Lei +3

Time-frequency (T-F) domain-based neural vocoders have shown promising results in synthesizing high-fidelity audio. Nevertheless, it remains unclear on the mechanism of effectively…

eess.AS202214 cited

Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer

Chengshi Zheng, Wenzhe Liu, Andong Li +2

It is highly desirable that speech enhancement algorithms can achieve good performance while keeping low latency for many applications, such as digital hearing aids, acoustically t…

eess.AS2022

A deep complex multi-frame filtering network for stereophonic acoustic echo cancellation

Linjuan Cheng, Chengshi Zheng, Andong Li +3

In hands-free communication system, the coupling between loudspeaker and microphone generates echo signal, which can severely influence the quality of communication. Meanwhile, var…

eess.AS20211 cited

A Robust Maximum Likelihood Distortionless Response Beamformer based on a Complex Generalized Gaussian Distribution

Weixin Meng, Chengshi Zheng, Xiaodong Li

For multichannel speech enhancement, this letter derives a robust maximum likelihood distortionless response beamformer by modeling speech sparse priors with a complex generalized…

eess.AS20201 cited

Distributed Node-Specific Block-Diagonal LCMV Beamforming in Wireless Acoustic Sensor Networks

Xinwei Guo, Minmin Yuan, Chengshi Zheng +1

This paper derives the analytical solution of a novel distributed node-specific block-diagonal linearly constrained minimum variance beamformer from the centralized linearly constr…