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Pathological voice analysis

Zhang, David.

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Pathological voice analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pathological voice analysis/ by David Zhang, Kebin Wu.
Author:	Zhang, David.
other author:	Wu, Kebin.
Published:	Singapore :Springer Singapore : : 2020.,
Description:	x, 174 p. :ill., digital ;24 cm.
[NT 15003449]:	CHAPTER 1 INTRODUCTION -- CHAPTER 2 PATHOLOGICAL VOICE ACQUISITION -- CHAPTER 3 PITCH ESTIMATION -- CHAPTER 4 GLOTTAL CLOSURE INSTANTS DETECTION -- CHAPTER 5 FEATURE LEARNING -- CHAPTER 6 JOINT LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 7 ROBUST MULTI VIEW DISCRIMINATIVE LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 8 BOOK REVIEW AND FUTURE WORK.
Contained By:	Springer Nature eBook
Subject:	Diagnosis. -
Online resource:	https://doi.org/10.1007/978-981-32-9196-6
ISBN:	9789813291966

Pathological voice analysis
Zhang, David.

Pathological voice analysis[electronic resource] /by David Zhang, Kebin Wu. - Singapore :Springer Singapore :2020. - x, 174 p. :ill., digital ;24 cm.

CHAPTER 1 INTRODUCTION -- CHAPTER 2 PATHOLOGICAL VOICE ACQUISITION -- CHAPTER 3 PITCH ESTIMATION -- CHAPTER 4 GLOTTAL CLOSURE INSTANTS DETECTION -- CHAPTER 5 FEATURE LEARNING -- CHAPTER 6 JOINT LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 7 ROBUST MULTI VIEW DISCRIMINATIVE LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 8 BOOK REVIEW AND FUTURE WORK.

While voice is widely used in speech recognition and speaker identification, its application in biomedical fields is much less common. This book systematically introduces the authors' research on voice analysis for biomedical applications, particularly pathological voice analysis. Firstly, it reviews the field to highlight the biomedical value of voice. It then offers a comprehensive overview of the workflow and aspects of pathological voice analysis, including voice acquisition systems, voice pitch estimation methods, glottal closure instant detection, feature extraction and learning, and the multi-audio fusion approaches. Lastly, it discusses the experimental results that have shown the superiority of these techniques. This book is useful to researchers, professionals and postgraduate students working in fields such as speech signal processing, pattern recognition, and biomedical engineering. It is also a valuable resource for those involved in interdisciplinary research.

ISBN: 9789813291966

Standard No.: 10.1007/978-981-32-9196-6doiSubjects--Topical Terms:

707211
Diagnosis.

LC Class. No.: RC71

Dewey Class. No.: 616.075

Pathological voice analysis
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100 1 $a Zhang, David. $3 1073796
245 1 0 $a Pathological voice analysis $h [electronic resource] / $c by David Zhang, Kebin Wu.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a x, 174 p. : $b ill., digital ; $c 24 cm.
505 0 $a CHAPTER 1 INTRODUCTION -- CHAPTER 2 PATHOLOGICAL VOICE ACQUISITION -- CHAPTER 3 PITCH ESTIMATION -- CHAPTER 4 GLOTTAL CLOSURE INSTANTS DETECTION -- CHAPTER 5 FEATURE LEARNING -- CHAPTER 6 JOINT LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 7 ROBUST MULTI VIEW DISCRIMINATIVE LEARNING FOR VOICE BASED DISEASE DETECTION -- CHAPTER 8 BOOK REVIEW AND FUTURE WORK.
520 $a While voice is widely used in speech recognition and speaker identification, its application in biomedical fields is much less common. This book systematically introduces the authors' research on voice analysis for biomedical applications, particularly pathological voice analysis. Firstly, it reviews the field to highlight the biomedical value of voice. It then offers a comprehensive overview of the workflow and aspects of pathological voice analysis, including voice acquisition systems, voice pitch estimation methods, glottal closure instant detection, feature extraction and learning, and the multi-audio fusion approaches. Lastly, it discusses the experimental results that have shown the superiority of these techniques. This book is useful to researchers, professionals and postgraduate students working in fields such as speech signal processing, pattern recognition, and biomedical engineering. It is also a valuable resource for those involved in interdisciplinary research.
650 0 $a Diagnosis. $3 707211
650 0 $a Physiology, Pathological. $3 684603
650 0 $a Voice. $3 678853
650 1 4 $a Pattern Recognition. $3 891045
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Speech Pathology. $3 900831
700 1 $a Wu, Kebin. $3 3461001
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-981-32-9196-6
950 $a Computer Science (SpringerNature-11645)