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Fundamentals of Speech EnhancementSpeech Enhancement Via Correlation Coefficients

Fundamentals of Speech Enhancement: Speech Enhancement Via Correlation Coefficients [In the previous two chapters, we showed the importance of different kinds of correlation coefficients in the formulation and analysis of the best estimators for speech enhancement. In this chapter, we focus on the linear case and show how the most relevant noise reduction filters as well as new ones can be easily derived from the Pearson correlation coefficient. We work in the time domain but the extension of these ideas to the more convenient short-time Fourier transform domain is straightforward.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Fundamentals of Speech EnhancementSpeech Enhancement Via Correlation Coefficients

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2018
ISBN
978-3-319-74523-7
Pages
45 –64
DOI
10.1007/978-3-319-74524-4_4
Publisher site
See Chapter on Publisher Site

Abstract

[In the previous two chapters, we showed the importance of different kinds of correlation coefficients in the formulation and analysis of the best estimators for speech enhancement. In this chapter, we focus on the linear case and show how the most relevant noise reduction filters as well as new ones can be easily derived from the Pearson correlation coefficient. We work in the time domain but the extension of these ideas to the more convenient short-time Fourier transform domain is straightforward.]

Published: Feb 10, 2018

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