SPEECH_ENHANCEMENT

作品数：63被引量：92H指数：4
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Speech enhancement with a GSC-like structure employing sparse coding
《Journal of Zhejiang University-Science C(Computers and Electronics)》2014年第12期1154-1163,共10页Li-chun YANG Yun-tao QIAN 
Project supported by the National Basic Research Program(973)of China(No.2012CB316400);the National NaturalScience Foundation of China(No.61171151)
Speech communication is often influenced by various types of interfering signals. To improve the quality of the desired signal, a generalized sidelobe canceller(GSC), which uses a reference signal to estimate the inte...
关键词：Generalized sidelobe canceller Speech enhancement Voice activity detection Dictionary learning Sparse coding 
HMM-based noise estimator for speech enhancement
《Journal of Beijing Institute of Technology》2014年第4期549-556,共8页许春冬 夏日升 应冬文 李军锋 颜永红 
Supported by the National Key Basic Research Program of China(2013CB329302);the National Natural Science Foundation of China(61271426,10925419,90920302,61072124,11074275,11161140319,91120001);the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA06030100,XDA06030500);the National "863" Program(2012AA012503);the CAS Priority Deployment Project(KGZD-EW-103-2);Jiangxi Provincial Department of Education Science and Technology Project(GJJ13426)
A noise estimator was presented in this paper by modeling the log-power sequence with hidden Markov model （HMM）. The smoothing factor of this estimator was motivated by the speech presence probability at each freque...
关键词：noise estimation hidden markov model CONSTRAINTS first-order recursive process speech enhancement 
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...
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