Speech Enhancement Using Rasta and LPC

Abstract

This method is using Fourier transform (FT) of cross-correlation function between noisy speech signal and zero replacement signals. The speech enhancement is using a pre-filter method to obtain a better auto regression (AR) co-efficient by using temporal and the simultaneous masking threshold. For the estimation of single channel speech enhancement algorithms, whose parameters are estimated by codebook method, the use of short time Fourier transforms (STFT) to reconstruct the noise observation and fundamental frequency of speech has been done. A non-zero mean condition that builds up by the Bayesian short time spectrum amplitude (STSA) algorithm is introduced in the stochastic deterministic (SD) speech. An analytical function is used for the magnitude of STFT of speech signal in the form of MMSE and phase in maximum-likelihood.