DocumentCode
2810338
Title
Theoretical musical-noise analysis and its generalization for methods of integrating beamforming and spectral subtraction based on higher-order statistics
Author
Takahashi, Y. ; Saruwatari, Hiroshi ; Shikano, Kiyorhiro ; Kondo, Kazunobu
Author_Institution
Nara Inst. of Sci. & Technol., Nara, Japan
fYear
2010
fDate
14-19 March 2010
Firstpage
93
Lastpage
96
Abstract
In this paper, we conduct a theoretical analysis of the amount of musical noise generated via methods of integrating beamforming and spectral subtraction (SS) based on higher-order statistics under the same noise reduction performance condition. In our previous analysis, we did not consider the effect of flooring technique in SS and the fact that the noise reduction performances of the integration methods are not equivalent. Then, in this study, we analyze the amount of generated musical noise with consideration of such problems. As a result of the analysis, it is clarified that an appropriate structure depends on both the parameters of SS and the statistical characteristics of the input signal. Moreover, it is also revealed that a specific structure is proper to reduce the musical noise for almost all cases.
Keywords
acoustic noise; acoustic signal processing; array signal processing; higher order statistics; music; beamforming; flooring technique; higher-order statistics; noise reduction performance; spectral subtraction; theoretical musical noise analysis; Acoustic distortion; Acoustic noise; Acoustic signal processing; Adaptive signal processing; Array signal processing; Higher order statistics; Microphone arrays; Noise generators; Noise reduction; Performance analysis; Musical noise; acoustic arrays; higher-order statistics; spectral subtraction; speech enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location
Dallas, TX
ISSN
1520-6149
Print_ISBN
978-1-4244-4295-9
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2010.5496173
Filename
5496173
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