Probabilistic Adaptation Mode Control Algorithm for GSC-Based Noise Reduction

Seungho HAN  Jungpyo HONG  Sangbae JEONG  Minsoo HAHN  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E93-A   No.3   pp.627-630
Publication Date: 2010/03/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E93.A.627
Print ISSN: 0916-8508
Type of Manuscript: LETTER
Category: Speech and Hearing
speech enhancement,  microphone array,  beamforming,  

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An efficient noise reduction algorithm is proposed to improve speech recognition performance for human machine interfaces. In the algorithm, a probabilistic adaptation mode controller (AMC) is designed and adopted to the generalized sidelobe canceller (GSC). To detect target speech intervals, the proposed AMC calculates the inter-channel correlation and estimates speech absence probability (SAP). Based on the SAP, the adaptation mode of the adaptive filter in the GSC is decided. Experimental results show the proposed algorithm significantly improves speech recognition performances and signal-to-noise ratios in real noisy environments.