Spectral enhancement methods

Jacob Benesty; Jingdong Chen; Yiteng Huang; Israel Cohen

doi:10.1007/978-3-642-00296-0_11

Spectral enhancement methods

Jacob Benesty, Jingdong Chen, Yiteng Huang, Israel Cohen

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

In this chapter, we focus on spectral enhancement methods in the shorttime Fourier transform (STFT) domain. We present statistical models for the speech and noise signals, and derive estimators for the speech signal using various distortion measures. We also describe an example of a speech enhancement algorithm and demonstrate its performance on speech signals degraded by various additive noise types.

Original language	English
Title of host publication	Springer Topics in Signal Processing
Publisher	Springer Science and Business Media B.V.
Pages	1-30
Number of pages	30
DOIs	https://doi.org/10.1007/978-3-642-00296-0_11
State	Published - 2009
Externally published	Yes

Publication series

Name	Springer Topics in Signal Processing
Volume	2
ISSN (Print)	1866-2609
ISSN (Electronic)	1866-2617

Keywords

Babble Noise
Conditional Variance
GARCH Model
Speech Enhancement
Speech Signal

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10.1007/978-3-642-00296-0_11

Cite this

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AU - Huang, Yiteng

AU - Cohen, Israel

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KW - Conditional Variance

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KW - Speech Signal

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Spectral enhancement methods

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Keywords

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