Jacob Benesty, Jingdong Chen

A Conceptual Framework for Noise Reduction (eBook, PDF)

• Format: PDF

Produktbeschreibung

Though noise reduction and speech enhancement problems have been studied for at least five decades, advances in our understanding and the development of reliable algorithms are more important than ever, as they support the design of tailored solutions for clearly defined applications. In this work, the authors propose a conceptual framework that can be applied to the many different aspects of noise reduction, offering a uniform approach
to monaural and binaural noise reduction problems, in the time domain and in the frequency domain, and involving a single or multiple microphones. Moreover, the derivation of optimal filters is simplified, as are the performance measures used for their evaluation.

Produktdetails

• Verlag: Springer International Publishing
• Erscheinungstermin: 31. März 2015
• Englisch
• ISBN-13: 9783319129556
• Artikelnr.: 44622754

Inhaltsangabe

1 Introduction.- 2 Conceptual Framework.- 3 Single-Channel Noise Reduction in the Time Domain.- 4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation.- 5 Binaural Noise Reduction in the Time Domain.- 6 Multichannel Noise Reduction in the STFT Domain.

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1 Introduction.- 2 Conceptual Framework.- 3 Single-Channel Noise Reduction in the Time Domain.- 4 Single-Channel Noise Reduction in the STFT Domain with Interframe Correlation.- 5 Binaural Noise Reduction in the Time Domain.- 6 Multichannel Noise Reduction in the STFT Domain.

Rezensionen

"This brief is intended to provide a solid understanding of the noise reduction problem, with a focus on speech processing, in order to design a well-targeted solution for a well-defined application. ... References are provided at the end of each chapter and point the reader to contemporary research as well as foundational studies in each area. ... Excellent formulae, charts and graphs are provided throughout the text, with many in full color." (Chuck H. Perala, Noise Control Engineering Journal, Vol. 64 (5), September-October, 2016)