most citedAcoustic Echo Cancellation by Combining Adaptive Digital Filter and Recurrent Neural Network

24 citations · 40 across the 8 of their papers we have counts for

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8 papers · 1 filter

cs.SD20216 cited

Multi-Scale Attention Neural Network for Acoustic Echo Cancellation

Lu Ma, Song Yang, Yaguang Gong +1

Acoustic Echo Cancellation (AEC) plays a key role in speech interaction by suppressing the echo received at microphone introduced by acoustic reverberations from loudspeakers. Sinc…

cs.SD2021

Noise Classification Aided Attention-Based Neural Network for Monaural Speech Enhancement

Lu Ma, Song Yang, Yaguang Gong +1

This paper proposes an noise type classification aided attention-based neural network approach for monaural speech enhancement. The network is constructed based on a previous work…

cs.SD20211 cited

Multi-Scale Temporal Convolution Network for Classroom Voice Detection

Lu Ma, Xintian Wang, Song Yang +2

Teaching with the cooperation of expert teacher and assistant teacher, which is the so-called "double-teachers classroom", i.e., the course is giving by the expert online and prese…

cs.SD20219 cited

EchoFilter: End-to-End Neural Network for Acoustic Echo Cancellation

Lu Ma, Song Yang, Yaguang Gong +2

Acoustic Echo Cancellation (AEC) whose aim is to suppress the echo originated from acoustic coupling between loudspeakers and microphones, plays a key role in voice interaction. Li…

cs.SD2020

Competitive Wakeup Scheme for Distributed Devices

Lu Ma, Haiping Zhang, Pei Zhao +1

Wakeup is the primary function in voice interaction which is the mainstream scheme in man-machine interaction (HMI) applications for smart home. All devices will response if the sa…

cs.SD2020

A Lite Microphone Array Beamforming Scheme with Maximum Signal-to-Noise Ratio Filter

Lu Ma, Xin Zhao, Pei Zhao +1

Since space-domain information can be utilized, microphone array beamforming is often used to enhance the quality of the speech by suppressing directional disturbance. However, wit…