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Pathological voice analysis

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Pathological voice analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pathological voice analysisby David Zhang, Kebin Wu.
Author:	Zhang, David.
other author:	Wu, Kebin.
Published:	Singapore :Springer Singapore :2020.
Description:	x, 174 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Diagnosis.
Online resource:	https://doi.org/10.1007/978-981-32-9196-6
ISBN:	9789813291966$q(electronic bk.)

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$q(electronic bk.)

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

192756
Diagnosis.

LC Class. No.: RC71

Dewey Class. No.: 616.075

Pathological voice analysis
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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.
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650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Biomedical Engineering and Bioengineering. $3 826326
650 2 4 $a Speech Pathology. $3 276041
700 1 $a Wu, Kebin. $3 874014
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