MAP Estimation for Noisy Speech Enhancement Based on Inter-Frame Correlation

OU Shi-feng;ZHAO Xiao-hui

ACTA ELECTRONICA SINICA ›› 2007, Vol. 35 ›› Issue (10) : 2007-2013.

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ACTA ELECTRONICA SINICA ›› 2007, Vol. 35 ›› Issue (10) : 2007-2013.
论文

MAP Estimation for Noisy Speech Enhancement Based on Inter-Frame Correlation

  • OU Shi-feng, ZHAO Xiao-hui
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Abstract

This paper investigates the probability distribution of speech components as well as the correlation characteristic between adjacent components,and presents a new speech model for enhancing noisy speech in adaptive KLT domain.Based on this model,a novel speech enhancement algorithm using MAP estimation is proposed,which incorporates the inter-frame correlation information as a form of joint probability density function into MAP under Gaussian model assumption for speech and noise components.The obtained estimation result keeps simple and avoids deficiency of classic approaches in enhancing noisy speech.In simulations with speech signals degraded by various noises,the proposed algorithm shows improved performance for a number of objective and subjective measures.

Key words

speech enhancement / adaptive Karhunen-Loève transformation / correlation / maximum a posterior estimation

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OU Shi-feng;ZHAO Xiao-hui. MAP Estimation for Noisy Speech Enhancement Based on Inter-Frame Correlation[J]. Acta Electronica Sinica, 2007, 35(10): 2007-2013.
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