A noise robust endpoint detection algorithm for whispered speech based on Empirical Mode Decomposition and entropy

被引：0
|
作者：
Tan, Xue-Dan [1 ]
Gu, Ji-Hua [1 ]
Zhao, He-Ming [2 ]
Tao, Zhi [1 ]
机构：
[1] Soochow Univ, Dept Phys Sci & Tech, Suzhou, Peoples R China
[2] Soochow Univ, Dept Electron, Suzhou, Peoples R China
来源：
2010 THIRD INTERNATIONAL SYMPOSIUM ON INTELLIGENT INFORMATION TECHNOLOGY AND SECURITY INFORMATICS (IITSI 2010) | 2010年
关键词：
endpoint detection; whispered speech; Empirical Mode Decomposition; entropy;
D O I：
10.1109/IITSI.2010.115
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper proposes a novel endpoint detection algorithm to improve the speech detection performance in noisy environments. In the proposed algorithm, Empirical Mode Decomposition is introduced to improve the performance of voice activity detector based on spectral entropy. We have evaluated system performance under noisy environments using a whispered database and NOISEX-92 Database. Experimental results indicate that our approach performs well in the degraded environment.
引用
收藏
页码：355 / 359
页数：5
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