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Fractional Fourier transform techniq...

Kunche, Prajna.

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Fractional Fourier transform techniques for speech enhancement

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fractional Fourier transform techniques for speech enhancement/ by Prajna Kunche, N. Manikanthababu.
作者:	Kunche, Prajna.
其他作者:	Manikanthababu, N.
出版者:	Cham :Springer International Publishing : : 2020.,
面頁冊數:	vii, 104 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction -- Chapter 2. Fractional Fourier Transform (FRFT) -- Chapter 3. Dual channel Speech Enhancement based on Fractional Fourier Transform -- Chapter 4. Fractional Cosine Transform based Single Channel Speech Enhancement Technique -- Chapter 5. Fractional Sine Transform based Single Channel Speech Enhancement Technique -- Chapter 6. Summary and Perspectives.
Contained By:	Springer eBooks
標題:	Fourier transformations. -
電子資源:	https://doi.org/10.1007/978-3-030-42746-7
ISBN:	9783030427467

Fractional Fourier transform techniques for speech enhancement
Kunche, Prajna.

Fractional Fourier transform techniques for speech enhancement[electronic resource] /by Prajna Kunche, N. Manikanthababu. - Cham :Springer International Publishing :2020. - vii, 104 p. :ill., digital ;24 cm. - SpringerBriefs in speech technology, studies in speech signal processing, natural language understanding, and machine learning,2191-737X. - SpringerBriefs in speech technology, studies in speech signal processing, natural language understanding, and machine learning..

Chapter 1. Introduction -- Chapter 2. Fractional Fourier Transform (FRFT) -- Chapter 3. Dual channel Speech Enhancement based on Fractional Fourier Transform -- Chapter 4. Fractional Cosine Transform based Single Channel Speech Enhancement Technique -- Chapter 5. Fractional Sine Transform based Single Channel Speech Enhancement Technique -- Chapter 6. Summary and Perspectives.

This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal processing applications. The authors discuss the complexities involved in the highly non- stationary signal processing and the concepts of FRFT for speech enhancement applications. The book explains the fundamentals of FRFT as well as its implementation in speech enhancement. Theories of different FRFT methods are also discussed. The book lets readers understand the new fractional domains to prepare them to develop new algorithms. A comprehensive literature survey regarding the topic is also made available to the reader. Analyzes FRFT techniques in speech enhancement applications; Presents new approaches for speech enhancement using FRFT; Suggests the future directions of research in this emerging area.

ISBN: 9783030427467

Standard No.: 10.1007/978-3-030-42746-7doiSubjects--Topical Terms:

533900
Fourier transformations.

LC Class. No.: QA403.5 / .K863 2020

Dewey Class. No.: 515.723

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505 0 $a Chapter 1. Introduction -- Chapter 2. Fractional Fourier Transform (FRFT) -- Chapter 3. Dual channel Speech Enhancement based on Fractional Fourier Transform -- Chapter 4. Fractional Cosine Transform based Single Channel Speech Enhancement Technique -- Chapter 5. Fractional Sine Transform based Single Channel Speech Enhancement Technique -- Chapter 6. Summary and Perspectives.
520 $a This book explains speech enhancement in the Fractional Fourier Transform (FRFT) domain and investigates the use of different FRFT algorithms in both single channel and multi-channel enhancement systems, which has proven to be an ideal time frequency analysis tool in many speech signal processing applications. The authors discuss the complexities involved in the highly non- stationary signal processing and the concepts of FRFT for speech enhancement applications. The book explains the fundamentals of FRFT as well as its implementation in speech enhancement. Theories of different FRFT methods are also discussed. The book lets readers understand the new fractional domains to prepare them to develop new algorithms. A comprehensive literature survey regarding the topic is also made available to the reader. Analyzes FRFT techniques in speech enhancement applications; Presents new approaches for speech enhancement using FRFT; Suggests the future directions of research in this emerging area.
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