Joint noise reduction and dereverberation of speech using hybrid TF-GSC and adaptive MMSE estimator

Abstract

Abstract This paper proposes a new multichannel hybrid method for dereverberation of speech signals in noisy environments. This method extends the use of a hybrid noise reduction method for dereverberation which is based on the combination of Generalized Sidelobe Canceller (GSC) and a single-channel noise reduction stage. In this research, we employ Transfer Function GSC (TF-GSC) that is more suitable for dereverberation. The single-channel stage is an Adaptive Minimum Mean-Square Error (AMMSE) spectral amplitude estimator. We also modify the AMMSE estimator for dereverberation application. Experimental results demonstrate superiority of the proposed method in dereverberation of speech signal in noisy environments. Index Terms : Dereverberation, Spectral estimator, TF-GSC, AMMSE 1. Introduction The main objective of speech enhancement is to reduce the corrupting noise and reverberation from received speech signal while preserving the original speech quality as much as possible. Some of de-noising methods can also be used in dereverberation [1]. These systems mainly estimate the amplitude of short-time spectrum of clean signal; then, the phase of received signal will be added to the estimated amplitude in order to obtain the enhanced signal. By modifying these algorithms, we can also reduce the (late) reverberation in noisy environments. In [1], Habets