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.