中国电子科技2009，Vol.7Issue(2)：115-118,4.
Speech Enhancement Algorithm Based on MMSE Short Time Spectral Amplitude in Whispered Speech
Speech Enhancement Algorithm Based on MMSE Short Time Spectral Amplitude in Whispered Speech
Zhi-Heng Lu 1Huai-Zong Shao 1Tai-Liang Ju1
作者信息
- 1. School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, 610054, China
- 折叠
摘要
Abstract
An improved method based on minimum mean square error-short time spectral amplitude (MMSE-STSA) is proposed to cancel background noise in whispered speech. Using the acoustic character of whispered speech, the algorithm can track the change of non-stationary background noise effectively. Compared with original MMSE-STSA algorithm and method in selectable mode Vo-coder (SMV), the improved algorithm can further suppress the residual noise for low signal-to-noise radio (SNR) and avoid the excessive suppression. Simulations show that under the non-stationary noisy environment, the proposed algorithm can not only get a better performance in enhancement, but also reduce the speech distortion.关键词
Minimum mean square error short time spectral amplitude (MMSE-STSA), speech enhancement, whispered speech.Key words
Minimum mean square error short time spectral amplitude (MMSE-STSA), speech enhancement, whispered speech.分类
信息技术与安全科学引用本文复制引用
Zhi-Heng Lu,Huai-Zong Shao,Tai-Liang Ju..Speech Enhancement Algorithm Based on MMSE Short Time Spectral Amplitude in Whispered Speech[J].中国电子科技,2009,7(2):115-118,4.
