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010   $a981-329-196-6
024 7 $a10.1007/978-981-32-9196-6
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035   $a(DE-He213)978-981-32-9196-6
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035   $a(PPN)250213273
035   $a(EXLCZ)994100000011373005
100   $a20200803d2020      u|         0
101 0 $aeng
135   $aurnn|008mamaa
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aPathological Voice Analysis /$fby David Zhang, Kebin Wu
205   $a1st ed. 2020.
210  1$aSingapore :$cSpringer Singapore :$cImprint: Springer,$d2020.
215   $a1 online resource (X, 174 p. 44 illus., 41 illus. in color.) 
300   $aIncludes index.
311   $a981-329-195-8 
327   $aCHAPTER 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.
330   $aWhile 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. .
606   $aPattern recognition
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aBiomedical engineering
606   $aSpeech pathology
606   $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
606   $aSpeech Pathology$3https://scigraph.springernature.com/ontologies/product-market-codes/H79000
615  0$aPattern recognition.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aBiomedical engineering.
615  0$aSpeech pathology.
615 14$aPattern Recognition.
615 24$aSignal, Image and Speech Processing.
615 24$aBiomedical Engineering and Bioengineering.
615 24$aSpeech Pathology.
676   $a616.85
700   $aZhang$b David$4aut$4http://id.loc.gov/vocabulary/relators/aut$0763056
702   $aWu$b Kebin$4aut$4http://id.loc.gov/vocabulary/relators/aut
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910416086303321
996   $aPathological Voice Analysis$92104136
997   $aUNINA