Jacob Benesty Jingdong Chen Benesty A Conceptual Framework for Noise Reduction

A Conceptual Framework for Noise Reduction

von Jacob Benesty Jingdong Chen

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Beschreibung

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.
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.
Proposes a conceptual framework that can be applied to the many different aspects of noise reduction Includes supplementary material: sn.pub/extras

Autor*in

Jacob Benesty

Themen in »A Conceptual Framework for Noise Reduction«

Binaural Microphone Arrays Multichannel Optimal Filters STFT Domain Single-channel Speech Distortion Index Speech Enhancement Speech Intelligibility Index Time Domain

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“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)


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Details

ISBN: 9783319129549
Verlag: Springer International Publishing
Erscheinung: 09.04.2015

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