Adaptive Microphone Array Processing for High-Performance Speech Recognition in Car Environment

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In this paper, a novel speech enhancement algorithm is proposed. The algorithm controls the amount of noise reduction according to whether the target speech is absence or presence in noisy environments. Based on the estimated speech absence probability (SAP), the amount of noise reduction is adaptively controlled. To calculate the SAP, normalized cross correlation of linear predictive residual signals instead of that of original input signals is utilized. It is especially robust and effective in reverberant and realistic environments. Experimental results show that the proposed algorithm improves speech recognition rates compared with conventional beamforming algorithms in car environments(1).
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2011-02
Language
English
Article Type
Article
Keywords

ALGORITHMS

Citation

IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, v.57, no.1, pp.260 - 266

ISSN
0098-3063
DOI
10.1109/TCE.2011.5735511
URI
http://hdl.handle.net/10203/96599
Appears in Collection
EE-Journal Papers(저널논문)
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