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Discrete-Time Speech Signal Processing: Principles and Practice by Thomas F. Quatieri - Massachusetts Institute of Technology Lincoln Laboratory

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Chapter 13Speech Enhancement

13.1 Introduction

Throughout the text, we have introduced a number of speech enhancement techniques, including homomorphic deconvolution in Chapter 6 for removing convolutional distortion and a spectral magnitude-only reconstruction approach in Chapter 7 to reducing additive noise. In this chapter, we further develop speech enhancement methods for addressing these two types of distortion. We cannot hope to cover all such methods; rather, we illustrate how certain analysis/synthesis schemes described in the text are used as a basis for enhancement, focusing on signal processing principles.

In this chapter, we judge enhancement techniques in part by the extent to which they reduce additive noise or convolutional distortion, ...

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