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Speech Enhancement in the STFT Domain

Part of the SpringerBriefs in Electrical and Computer Engineering Book Series

DOI: 10.1007/978-3-642-23250-3

ISBN: 978-3-642-23249-7

Publisher: Springer Berlin Heidelberg - Springer Journals

Sep 15, 2011

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Introduction

Benesty, Jacob; Chen, Jingdong; Habets, Emanuël A. P.

Pages: 1 –13

[This chapter introduces the problem of speech enhancement in the short-time Fourier transform (STFT) domain.]
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Single-Channel Speech Enhancement with a Gain

Benesty, Jacob; Chen, Jingdong; Habets, Emanuël A. P.

Pages: 15 –28

[There are different ways to perform speech enhancement in the frequency domain from a single microphone signal. The simplest way is to estimate the desired signal from the noisy observation with a simple complex gain. This approach is investigated in this chapter and all well-known optimal gains...
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Single-Channel Speech Enhancement with a Filter

Benesty, Jacob; Chen, Jingdong; Habets, Emanuël A. P.

Pages: 29 –49

[In the previous chapter, we estimated the desired signal from the current data frame only. However, as shown in Chapter 1, consecutive data frames are correlated and this information should, therefore, be taken into account in order to enhance the estimation of the speech signal. Now, a filter...
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Multichannel Speech Enhancement with Gains

Benesty, Jacob; Chen, Jingdong; Habets, Emanuël A. P.

Pages: 51 –75

[In the previous two chapters, we exploited the temporal information from a single microphone signal to derive different techniques for speech enhancement in the STFT domain. In this chapter and the next one, we will exploit both the temporal and spatial information available from signals picked...
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Multichannel Speech Enhancement with Filters

Benesty, Jacob; Chen, Jingdong; Habets, Emanuël A. P.

Pages: 77 –92

[This chapter is a generalization of the previous one, where now the interframe correlation is taken into account in order to improve beamforming since speech signals are correlated at successive frames with the STFT. The signal model is the same as in Chapter 4, but the microphone array...
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The Bifrequency Spectrum in Speech Enhancement

Benesty, Jacob; Chen, Jingdong; Habets, Emanuël A. P.

Pages: 93 –101

[In this chapter, we explain how the bifrequency spectrum is introduced in the derivation of speech enhancement filters considering that the signals may be nonstationary. The focus is on the single-channel case where the interframe correlation is not taken into account. Generalization to other...
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Summary and Perspectives

Benesty, Jacob; Chen, Jingdong; Habets, Emanuël A. P.

Pages: 103 –106

[This chapter summarizes our work on speech enhancement in the STFT domain and gives some perspectives.]

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