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Sound Source Separation using Null-Beamforming and Spectral Subtraction for Mobile Devices

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5 Author(s)
Takada, S. ; Department of Computer Science, Waseda University, 3-4-1 Okubo, Shinjuku-ku, Tokyo 169-8555, Japan ; Kanba, Satoshi ; Ogawa, T. ; Akagiri, K.
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This paper presents a new type of speech segregation method for mobile devices in noisy sound situation, where two or more speakers are talking simultaneously. The proposed method consists of multiple null-beamformers, their minimum power channel selection and spectral subtraction. The proposed method is performed with space-saving and coplanar microphone arrangements and low-cost calculations, which are the very important requirements for the mobile application. Effectiveness of the proposed method is clarified in the segregation and the recognition experiments of two simultaneous continuous speeches: the method improved the PESQ-based MOS value by about one point and reduced 70% of word recognition errors compared with non-processing.

Published in:

Applications of Signal Processing to Audio and Acoustics, 2007 IEEE Workshop on

Date of Conference:

21-24 Oct. 2007