國立虎尾科技大學 |

Pathological Voice Analysis

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Pathological Voice Analysis/ by David Zhang, Kebin Wu.
Author:	Zhang, David.
other author:	Wu, Kebin.
Description:	X, 174 p. 44 illus., 41 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Pattern recognition. -
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. - 1st ed. 2020. - X, 174 p. 44 illus., 41 illus. in color.online resource.

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:

1253525
Pattern recognition.

LC Class. No.: Q337.5

Dewey Class. No.: 006.4

Pathological Voice Analysis
LDR:02694nam a22004095i 4500 001 1021267
003 DE-He213
005 20200803153452.0
007 cr nn 008mamaa
008 210318s2020 si | s |||| 0|eng d
020 $a 9789813291966 $9 978-981-32-9196-6
024 7 $a 10.1007/978-981-32-9196-6 $2 doi
035 $a 978-981-32-9196-6
050 4 $a Q337.5
050 4 $a TK7882.P3
072 7 $a UYQP $2 bicssc
072 7 $a COM016000 $2 bisacsh
072 7 $a UYQP $2 thema
082 0 4 $a 006.4 $2 23
100 1 $a Zhang, David. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1076935
245 1 0 $a Pathological Voice Analysis $h [electronic resource] / $c by David Zhang, Kebin Wu.
250 $a 1st ed. 2020.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2020.
300 $a X, 174 p. 44 illus., 41 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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 Pattern recognition. $3 1253525
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Biomedical engineering. $3 588770
650 0 $a Speech pathology. $3 1256392
650 1 4 $a Pattern Recognition. $3 669796
650 2 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Biomedical Engineering and Bioengineering. $3 1211019
650 2 4 $a Speech Pathology. $3 678485
700 1 $a Wu, Kebin. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1316900
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789813291959
776 0 8 $i Printed edition: $z 9789813291973
776 0 8 $i Printed edition: $z 9789813291980
856 4 0 $u https://doi.org/10.1007/978-981-32-9196-6
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)