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| PCA in Speech Detection |
| ZHU JunBo1, ZHU XiaJun2, WANG ShouJue3 |
1.Institute of Semiconductor and Information Technology, Tongji University, Shanghai 200092
2.College of Computer Science and Information Engineering, Zhejiang Gongshang University, Hangzhou 310035
3.Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083 |
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Abstract It is essential for speech processing system to have robust speech detection. In this paper, a PCA(principal component analysis)based speech detection method is proposed. A good result of the examination by using this method is gotten. In this method, speech and nonspeech subspaces are created respectively by using PCA. The result of fast PCA is the basis of the new subspace. By analysis the distribution of the data in subspace, the speech and nonspeech can be detected respectively. Creating a number of different type nonspeech subspaces can get a better performance than creating one.
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Received: 10 May 2005
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2006, Vol. 19 
