SPEECH_ENHANCEMENT

作品数：63被引量：92H指数：4
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Monaural speech enhancement using U-net fused with multi-head self-attention
《Chinese Journal of Acoustics》2023年第1期98-118,共21页FAN Junyi YANG Jibin ZHANG Xiongwei ZHENG Changyan 
supported by the National Natural Science Foundation of China(62071484)。
Under low signal-to-noise ratio(SNR)and burst noise conditions,the speech enhancement effect of existing deep learning network models is not satisfactory.In contrast,humans can exploit the long-term correlation of spe...
关键词：network SPEECH noise 
Application of improved U-Net network with attention mechanism in end-to-end speech enhancement
《Chinese Journal of Acoustics》2022年第4期390-403,共14页WU Ruiqin CHEN Xueqin YU Jie WANG Lirong ZHAO Heming 
supported by the National Natural Science Foundation of China(61340004)。
An improved U-Net(Attention Dilated Convolution U-Net,ADC-U-Net)network model for end-to-end speech enhancement is designed based on the U-Net network.Compared with the baseline U-Net network,the dilated convolution i...
关键词：NETWORK SPEECH MECHANISM 
Time-frequency mask estimation-based speech enhancement using deep encoder-decoder neural network
《Chinese Journal of Acoustics》2021年第1期141-154,共14页SHI Wenhua ZHANG Xiongwei ZOU Xia SUN Meng LI Li REN Zhengbing 
supported by the National Natural Science Foundation of China (61471394,62071484);the Natural Science Foundation of Jiangsu Province for Excellent Young Scholars (BK20180080)。
A time-frequency mask estimation using deep encoder-decoder neural network for speech enhancement is presented.The mask estimation is learned implicitly by the deep encoder-decoder neural network and.jointed with the ...
关键词：DECODER network NEURAL 
Single channel speech enhancement via time-frequency dictionary learning被引量：6
《Chinese Journal of Acoustics》2013年第1期90-102,共13页HUANG Jianjun ZHANG Xiongwei ZHANG Yafei ZOU Xia 
A time-frequency dictionary learning approach is proposed to enhance speech con- taminated by additive nonstationary noise. In this framework, a time-frequency dictionary which is learned from noise data is incorporat...
关键词：TIME WORK In STFT Single channel speech enhancement via time-frequency dictionary learning 
A signal subspace dimension estimator based on F-norm with application to subspace-based multi-channel speech enhancement被引量：2
《Chinese Journal of Acoustics》2012年第3期353-368,共16页LI Chao LIU Wenju 
supported by the National Nature Science Foundation of China(91120303,90820011, 90820303);the National Grand Fundamental Research 973 Program of China(2004CB318105)
Although the signal subspace approach has been studied extensively for speech enhancement, no good solution has been found to identify signal subspace dimension in multi- channel situation. This paper presents a signa...
Speech enhancement by array crosstalk resistant ANC and spectrum subtraction被引量：4
《Chinese Journal of Acoustics》2008年第1期85-96,共12页ZENG Qingning OUYANG Shan 
Microphone array-based speech enhancement has great importance for speech communications and speech recognition. To reduce the aperture of the microphone array and to increase the effect of the speech enhancement will...
Speech enhancement based on multitaper spectrum and psychoacoustical weighting rule被引量：1
《Chinese Journal of Acoustics》2007年第3期278-288,共11页WU Hongwei WU Zhenyang ZHAO Li 
This work was supported by 973-Project of China (No. 2002CB312102); by the National Natural Science Foundation of China (No. 60272044) ;by the Youth Research Fund of Suzhou University (No. Q3119610).
Multitaper spectrum has lower variance than the traditional periodogram. The noise spectrum and the noise to noisy signal spectrum ratio （NNSR） were estimated from the multitaper spectrum of the noisy signal; the pr...
A speech enhancement method based on Kalman filtering被引量：2
《Chinese Journal of Acoustics》1994年第3期231-237,共7页SHEN Yaqiang (Zhejiang Normal Universily, Zhejiang 321004) 
In this paper, we research the enhancement of noisy specch signals by use of Kalman Filtering. The corrupted speech signal by adding noises, which have +5 to -5dB low SNR, was used as filter object. The adding noises ...
关键词：Kalman filtering Speech enhancement 
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