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http://dx.doi.org/10.5391/JKIIS.2007.17.7.945

Multi-channel input-based non-stationary noise cenceller for mobile devices  

Jeong, Sang-Bae (한국정보통신대학교 공학부)
Lee, Sung-Doke (한국정보통신대학교 공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.7, 2007 , pp. 945-951 More about this Journal
Abstract
Noise cancellation is essential for the devices which use speech as an interface. In real environments, speech quality and recognition rates are degraded by the auditive noises coming near the microphone. In this paper, we propose a noise cancellation algorithm using stereo microphones basically. The advantage of the use of multiple microphones is that the direction information of the target source could be applied. The proposed noise canceller is based on the Wiener filter. To estimate the filter, noise and target speech frequency responses should be known and they are estimated by the spectral classification in the frequency domain. The performance of the proposed algorithm is compared with that of the well-known Frost algorithm and the generalized sidelobe canceller (GSC) with an adaptation mode controller (AMC). As performance measures, the perceptual evaluation of speech quality (PESQ), which is the most widely used among various objective speech quality methods, and speech recognition rates are adopted.
Keywords
Noise cancellation; Beamforming; Speech enhancement; Speech recognition;
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