MUSICAL NOISE GENERATION ANALYSIS FOR NOISE REDUCTION METHODS BASED ON SPECTRAL SUBTRACTION AND MMSE STSA ESTIMATION

被引：22

作者：

Uemura, Yoshihisa ^{[1
]}

Takahashi, Yu ^{[1
]}

Saruwatari, Hiroshi ^{[1
]}

Shikano, Kiyohiro ^{[1
]}

Kondo, Kazunobu ^{[2
]}

机构：

[1] Nara Inst Sci & Technol, Nara 6300192, Japan

[2] Yamaha Corp, Ctr Adv Sound Technol, SA Grp, Shizuoka 4380912, Japan

来源：

2009 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1- 8, PROCEEDINGS | 2009年

关键词：

Musical noise; higher-order statistics; minimum mean-square error short-time spectral amplitude; spectral subtraction; speech enhancement;

D O I：

10.1109/ICASSP.2009.4960613

中图分类号：

O42 [声学];

学科分类号：

070206 ; 082403 ;

摘要：

In this paper, we reveal new findings about the generated musical noise in minimum mean-square error short-time spectral amplitude (MMSE STSA) processing. Recently we have proposed a objective metric of musical noise based on kurtosis change ratio on spectral subtraction (SS). Also we found an interesting relationship among the degree of generated musical noise, the shapes of signal's probability density function, the strength parameter of SS processing. This paper is aimed to automatically evaluate the sound quality of various types of noise reduction methods using kurtosis change ratio. We give: a mathematical analysis based on higher-order statistics viewpoint, and lead to a valuable relation in that MMSE STSA has a weakness in speech period distortion rather than noise period, and vice versa in SS.

引用

页码：4433 / +

页数：2

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