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Robustness-related issues in speaker...

Zheng, Thomas Fang.

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Robustness-related issues in speaker recognition

Record Type:	Electronic resources : Monograph/item
Title/Author:	Robustness-related issues in speaker recognition/ by Thomas Fang Zheng, Lantian Li.
Author:	Zheng, Thomas Fang.
other author:	Li, Lantian.
Published:	Singapore :Springer Singapore : : 2017.,
Description:	x, 49 p. :ill., digital ;24 cm.
[NT 15003449]:	Speaker Recognition: Introduction -- Environmental-Related Robustness Issues -- Speaker-Related Robustness Issues -- Application-Oriented Robustness Issues -- Conclusions and Future Work.
Contained By:	Springer eBooks
Subject:	Automatic speech recognition. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-3238-7
ISBN:	9789811032387

Robustness-related issues in speaker recognition
Zheng, Thomas Fang.

Robustness-related issues in speaker recognition[electronic resource] /by Thomas Fang Zheng, Lantian Li. - Singapore :Springer Singapore :2017. - x, 49 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Speaker Recognition: Introduction -- Environmental-Related Robustness Issues -- Speaker-Related Robustness Issues -- Application-Oriented Robustness Issues -- Conclusions and Future Work.

This book presents an overview of speaker recognition technologies with an emphasis on dealing with robustness issues. Firstly, the book gives an overview of speaker recognition, such as the basic system framework, categories under different criteria, performance evaluation and its development history. Secondly, with regard to robustness issues, the book presents three categories, including environment-related issues, speaker-related issues and application-oriented issues. For each category, the book describes the current hot topics, existing technologies, and potential research focuses in the future. The book is a useful reference book and self-learning guide for early researchers working in the field of robust speech recognition.

ISBN: 9789811032387

Standard No.: 10.1007/978-981-10-3238-7doiSubjects--Topical Terms:

753709
Automatic speech recognition.

LC Class. No.: TK7895.S65

Dewey Class. No.: 006.454

Robustness-related issues in speaker recognition
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100 1 $a Zheng, Thomas Fang. $3 3236493
245 1 0 $a Robustness-related issues in speaker recognition $h [electronic resource] / $c by Thomas Fang Zheng, Lantian Li.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2017.
300 $a x, 49 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a Speaker Recognition: Introduction -- Environmental-Related Robustness Issues -- Speaker-Related Robustness Issues -- Application-Oriented Robustness Issues -- Conclusions and Future Work.
520 $a This book presents an overview of speaker recognition technologies with an emphasis on dealing with robustness issues. Firstly, the book gives an overview of speaker recognition, such as the basic system framework, categories under different criteria, performance evaluation and its development history. Secondly, with regard to robustness issues, the book presents three categories, including environment-related issues, speaker-related issues and application-oriented issues. For each category, the book describes the current hot topics, existing technologies, and potential research focuses in the future. The book is a useful reference book and self-learning guide for early researchers working in the field of robust speech recognition.
650 0 $a Automatic speech recognition. $3 753709
650 0 $a Speech perception. $3 627747
650 0 $a Voice. $3 678853
650 1 4 $a Engineering. $3 586835
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Pattern Recognition. $3 891045
650 2 4 $a Computational Linguistics. $3 893900
700 1 $a Li, Lantian. $3 3236494
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in electrical and computer engineering. $3 1565565
856 4 0 $u http://dx.doi.org/10.1007/978-981-10-3238-7
950 $a Engineering (Springer-11647)