National Natural Science Foundation of China(NSFC)(No.61671075);Major Program of National Natural Science Foundation of China(No.61631003)。
Aiming at the problem of music noise introduced by classical spectral subtraction,a shorttime modulation domain(STM)spectral subtraction method has been successfully applied for singlechannel speech enhancement.Howeve...
supported by National Natural Science Foundation of China(NSFC)(No.61671075);Major Program of National Natural Science Foundation of China(No.61631003)。
To overcome the limitations of conventional speech enhancement methods, such as inaccurate voice activity detector(VAD) and noise estimation, a novel speech enhancement algorithm based on the approximate message passi...
partially supported by the National Natural Science Foundation of China (Nos.11590772, 11590770);the Pre-research Project for Equipment of General Information System (No.JZX2017-0994/Y306)
This paper presents a deep neural network(DNN)-based speech enhancement algorithm based on the soft audible noise masking for the single-channel wind noise reduction. To reduce the low-frequency residual noise, the ps...
supported by the National Natural Science Foundation of China(No.61571044,No.11590772,No.61473041 and No.61620106002)
This paper proposes a novel microphone array speech denoising scheme based on tensor filtering methods including truncated HOSVD(High-Order Singular Value Decomposition), low rank tensor approximation and multi-mode W...
supported by the National Natural Science Foundation of China (Grant No.61471014,61231015)
Many speech enhancement algorithms that deal with noise reduction are based on a binary masking decision(termed as the hard decision), which may cause some regions of the synthesized speech to be discarded. In view of...