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Fundamentals of Speech EnhancementSpeech Enhancement from the Fullband Output SNR Perspective

Fundamentals of Speech Enhancement: Speech Enhancement from the Fullband Output SNR Perspective [Most of the speech enhancement algorithms are implemented in the timefrequency domain, i.e., the short-time Fourier transform (STFT) domain. The two main advantages of the STFT are that the algorithms can be implemented very efficiently and the different frequency bins can apparently be manipulated in a very flexible way in order to better compromise between noise reduction and speech distortion. Therefore, it is important to understand how things work from the fullband output SNR perspective and how gains/filters for noise reduction can be improved by fully exploiting all facets of this fundamental measure.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Fundamentals of Speech EnhancementSpeech Enhancement from the Fullband Output SNR Perspective

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Publisher
Springer International Publishing
Copyright
© The Author(s) 2018
ISBN
978-3-319-74523-7
Pages
83 –104
DOI
10.1007/978-3-319-74524-4_6
Publisher site
See Chapter on Publisher Site

Abstract

[Most of the speech enhancement algorithms are implemented in the timefrequency domain, i.e., the short-time Fourier transform (STFT) domain. The two main advantages of the STFT are that the algorithms can be implemented very efficiently and the different frequency bins can apparently be manipulated in a very flexible way in order to better compromise between noise reduction and speech distortion. Therefore, it is important to understand how things work from the fullband output SNR perspective and how gains/filters for noise reduction can be improved by fully exploiting all facets of this fundamental measure.]

Published: Feb 10, 2018

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