DocumentCode
3511255
Title
Musical noise analysis based on higher order statistics for microphone array and nonlinear signal processing
Author
Takahashi, Yu. ; Uemura, Yoshihisa ; Saruwatari, Hiroshi ; Shikano, Kiyorhiro ; Kondo, Kazunobu
Author_Institution
Nara Inst. of Sci. & Technol., Nara
fYear
2009
fDate
19-24 April 2009
Firstpage
229
Lastpage
232
Abstract
In this paper, we conduct an analysis for reduction of musical noise in integration method of microphone array signal processing and nonlinear signal processing. In these days, for better noise reduction, integration methods of microphone array signal processing and nonlinear signal processing have been researched. However, non-linear signal processing causes musical noise. Since such musical noise make users uncomfortable, it is desired that musical noise is mitigated. Moreover, in these days, it is reported that higher-order statistics is strongly related with the amount of generated musical noise. Thus, we analyze the integrated method of microphone array signal processing and nonlinear signal processing, based on higher-order statistics. Also, we propose an architecture for reducing musical noise based on the analysis. The effectiveness of the proposed architecture and analysis correctness are shown via a computer simulation and a subjective evaluation.
Keywords
array signal processing; microphone arrays; array signal processing; higher order statistics; microphone array; musical noise analysis; nonlinear signal processing; Acoustic noise; Acoustic signal processing; Adaptive signal processing; Array signal processing; Computer architecture; Higher order statistics; Microphone arrays; Noise reduction; Signal analysis; Speech enhancement; Musical noise; acoustic arrays; higher-order statistics; spectral subtraction; speech enhancement;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location
Taipei
ISSN
1520-6149
Print_ISBN
978-1-4244-2353-8
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2009.4959562
Filename
4959562
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