SPEECH_ENHANCEMENT

作品数：63被引量：92H指数：4
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Optimizing the Perceptual Quality of Time-Domain Speech Enhancement with Reinforcement Learning被引量：1
《Tsinghua Science and Technology》2022年第6期939-947,共9页Xiang Hao Chenglin Xu Lei Xie Haizhou Li 
supported by the National Research Foundation of Singapore(No.AISG-100E-2018-006);Human-Robot Interaction Phase 1(No.1922500054);under the National Robotics Programme,Singapore.
In neural speech enhancement,a mismatch exists between the training objective,i.e.,Mean-Square Error(MSE),and perceptual quality evaluation metrics,i.e.,perceptual evaluation of speech quality and short-time objective...
关键词：speech enhancement neural networks dynamic filter reinforcement learning 
Small-Space Microphone Array Fractional Delay Algorithm Based on FIR Filter for Cochlear Implant被引量：4
《Tsinghua Science and Technology》2011年第1期90-94,共5页陈又圣 宫琴 
Supported by the National Natural Science Foundation of China(Nos. 60871083 and 30800234);the Beijing Natural Science Foundation(No. 3082012);the Key Technologies R&D Program of Ministry of Science and Technology of the People’s Republic of China(No. 2008BAI50B08)
Directional speech enhancement of signals from microphone arrays is an effective way to improve speech recognition for cochlear implant users. The strict implant size limitation results in a short distance between mic...
关键词：microphone array fractional delay Maxflat FIR filter directional speech enhancement system 
Real-Time Implementation of an Efficient Speech Enhancement Algorithm for Digital Hearing Aids
《Tsinghua Science and Technology》2006年第4期475-480,共6页高杰 张辉 胡广书 
In order to remove background noise and improve the quality of speech for digital hearing aids, a single-channel speech enhancement algorithm is proposed. The algorithm is implemented and assessed on a digital hearing...
关键词：voice activity detection power envelope Wiener filter speech enhancement 
Robust Speech Recognition Using a Harmonic Model
《Tsinghua Science and Technology》2004年第2期202-206,共5页许超 曹志刚 
Supported by the National Natural Science Foundation of China (No. 60072011)
Automatic speech recognition under conditions of a noisy environment remains a challenging problem. Traditionally, methods focused on noise structure, such as spectral subtraction, have been em-ployed to address this ...
关键词：robust speech recognition speech enhancement pitch extraction harmonic model 
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