Adaptive Noise Suppression Algorithm for Speech Signal Based on Stochastic System Theory

Akira IKUTA  Hisako ORIMOTO  

IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences   Vol.E94-A   No.8   pp.1618-1627
Publication Date: 2011/08/01
Online ISSN: 1745-1337
DOI: 10.1587/transfun.E94.A.1618
Print ISSN: 0916-8508
Type of Manuscript: Special Section PAPER (Special Section on Advances in Adaptive Signal Processing and Applications)
noise suppression,  speech signal,  stochastic system,  adaptive algorithm,  actual environment,  

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Numerous noise suppression methods for speech signals have been developed up to now. In this paper, a new method to suppress noise in speech signals is proposed, which requires a single microphone only and doesn't need any priori-information on both noise spectrum and pitch. It works in the presence of noise with high amplitude and unknown direction of arrival. More specifically, an adaptive noise suppression algorithm applicable to real-life speech recognition is proposed without assuming the Gaussian white noise, which performs effectively even though the noise statistics and the fluctuation form of speech signal are unknown. The effectiveness of the proposed method is confirmed by applying it to real speech signals contaminated by noises.