Speech Dereverberation and Denoising Based on Time Varying Speech Model and Autoregressive Reverberation Model

Abstract

Speech dereverberation and denoising have been important problems for decades in the speech processing field. As regards to denoising, a model-based approach has been intensively studied and many practical methods have been developed. In contrast, research on dereverberation has been relatively limited. It is in very recent years that studies on a model-based approach to dereverberation have made rapid progress. This chapter reviews a model-based dereverberation method developed by the authors. This dereverberation method is effectively combined with a traditional denoising technique, specifically a multichannel Wiener filter. This combined method is derived by solving a dereverberation and denoising problem with a modelbased approach. The combined dereverberation and denoising method as well as the original dereverberation method are developed by using a multichannel autoregressive model of room acoustics and a time-varying power spectrum model of clean speech signals.