Speech Source Separation and Noise Reduction using a MMSE Short-Time Spectral Amplitude Estimator

被引：0
|
作者：
Imsiya, K. A. [1 ]
Nandana, B. T. [1 ]
机构：
[1] RCET, Dept ECE, Akkikavu, Thrissur, India
来源：
2015 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS) | 2015年
关键词：
Blind source separation; microphone array signal processing; independent component analysis; spectral subtraction; MMSE; STSA estimator;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
A new blind speech extraction method consisting of a minimum mean-square error short-time spectral amplitude ( MMSE STSA) estimator and noise estimation based on independent component analysis ( ICA) is proposed in this paper. First, a computer simulation is performed using the artificial noise whose stationarity could be controlled parametrically and the obtained results indicate that the proposed method is superior to conventional methods such as blind spatial subtraction array ( BSSA) and the original MMSE STSA estimator under the non-point-source and nonstationary noise condition.
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页数：4
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