Overview
- Proposes a conceptual framework that can be applied to the many different aspects of noise reduction
- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Electrical and Computer Engineering (BRIEFSELECTRIC)
Buy print copy
About this book
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.
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.
Similar content being viewed by others
Keywords
Table of contents (6 chapters)
-
Front Matter
-
Back Matter
Reviews
“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)
Authors and Affiliations
Bibliographic Information
Book Title: A Conceptual Framework for Noise Reduction
Authors: Jacob Benesty, Jingdong Chen
Series Title: SpringerBriefs in Electrical and Computer Engineering
DOI: https://doi.org/10.1007/978-3-319-12955-6
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2015
Softcover ISBN: 978-3-319-12954-9Published: 09 April 2015
eBook ISBN: 978-3-319-12955-6Published: 31 March 2015
Series ISSN: 2191-8112
Series E-ISSN: 2191-8120
Edition Number: 1
Number of Pages: VIII, 89
Number of Illustrations: 11 illustrations in colour
Topics: Signal, Image and Speech Processing, Communications Engineering, Networks