DocumentCode
3404878
Title
Speech enhancement using square microphone array for mobile devices
Author
Takada, Shintaro ; Ogawa, Tetsuji ; Akagiri, Kenzo ; Kobayashi, Tetsunori
Author_Institution
Dept. of Comput. Sci., Waseda Univ., Tokyo
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
313
Lastpage
316
Abstract
In this paper, we propose a new type of speech enhancement method that is suitable for mobile devices used in noisy environments. For the sake of achieving high-performance speech recognition and auditory perception in the mobile devices, disturbance noises have to be removed under the requirements of a space-saving microphone arrangement and a low computational cost. The proposed method can reduce both the directional and the diffuse noises under the requirements for the mobile devices by applying the square microphone array and the low-cost processing that consists of multiple null beam- forming, their minimum power channel selection and Wiener filtering. The effectiveness of the proposed method is clarified for speech recognition accuracies and speech qualities under the condition in which both the directional and the diffuse noises exist simultaneously: it reduced 40% of recognition errors and improved PESQ-based MOS value by 0.75 point.
Keywords
Wiener filters; array signal processing; microphone arrays; mobile handsets; speech enhancement; speech recognition; Wiener filtering; auditory perception; diffuse noises; high-performance speech recognition; mobile devices; speech enhancement method; square microphone array; Acoustic noise; Computational efficiency; Microphone arrays; Mobile computing; Noise reduction; Spatial filters; Speech enhancement; Speech recognition; Wiener filter; Working environment noise; Wiener filtering; array signal processing; mobile devices; speech enhancement; speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4517609
Filename
4517609
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