Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features

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Main Authors: Döllinger, Michael, Lohscheller, Jörg, Svec, Jan, McWhorter, Andrew, Kunduk, Melda
Format: Electronic Book Chapter
Language:English
Published: IntechOpen 2011
Subjects:
Online Access:https://www.intechopen.com/chapters/14671
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author Döllinger, Michael
Lohscheller, Jörg
Svec, Jan
McWhorter, Andrew
Kunduk, Melda
author_facet Döllinger, Michael
Lohscheller, Jörg
Svec, Jan
McWhorter, Andrew
Kunduk, Melda
author_sort Döllinger, Michael
collection InTech Open eBooks
description None
doi_str_mv 10.5772/15200
first_indexed 2025-08-04T21:25:51Z
format Electronic
Book Chapter
fullrecord <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd"><identifier>InTech-14671</identifier><datestamp>2011-04-04</datestamp> <dc:title>Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features</dc:title> <dc:creator>Michael Döllinger</dc:creator> <dc:creator>Jörg Lohscheller</dc:creator> <dc:creator>Jan Svec</dc:creator> <dc:creator>Andrew McWhorter</dc:creator> <dc:creator>Melda Kunduk</dc:creator> <dc:subject>Physical Sciences, Engineering and Technology</dc:subject> <dc:description>None</dc:description> <dc:publisher>IntechOpen</dc:publisher> <dc:date>2011-04-04</dc:date> <dc:type>Chapter, Part Of Book</dc:type> <dc:identifier>https://www.intechopen.com/chapters/14671</dc:identifier> <dc:identifier>doi:10.5772/15200</dc:identifier> <dc:language>en</dc:language> <dc:relation>ISBN:978-953-307-209-8</dc:relation> <dc:rights>https://creativecommons.org/licenses/by-nc-sa/3.0/</dc:rights> <dc:source>https://www.intechopen.com/books/111 ; Advances in Vibration Analysis Research</dc:source> </oai_dc:dc>
id InTech-14671
institution Matheson Library
isbn 978-953-307-209-8
language English
last_indexed 2025-08-04T21:25:51Z
publishDate 2011
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record_format intech
spelling InTech-146712011-04-04 Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features Michael Döllinger Jörg Lohscheller Jan Svec Andrew McWhorter Melda Kunduk Physical Sciences, Engineering and Technology None IntechOpen 2011-04-04 Chapter, Part Of Book https://www.intechopen.com/chapters/14671 doi:10.5772/15200 en ISBN:978-953-307-209-8 https://creativecommons.org/licenses/by-nc-sa/3.0/ https://www.intechopen.com/books/111 ; Advances in Vibration Analysis Research
spellingShingle Physical Sciences, Engineering and Technology
Döllinger, Michael
Lohscheller, Jörg
Svec, Jan
McWhorter, Andrew
Kunduk, Melda
Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features
title Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features
title_full Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features
title_fullStr Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features
title_full_unstemmed Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features
title_short Support Vector Machine Classification of Vocal Fold Vibrations Based on Phonovibrogram Features
title_sort support vector machine classification of vocal fold vibrations based on phonovibrogram features
topic Physical Sciences, Engineering and Technology
url https://www.intechopen.com/chapters/14671
work_keys_str_mv AT dollingermichael supportvectormachineclassificationofvocalfoldvibrationsbasedonphonovibrogramfeatures
AT lohschellerjorg supportvectormachineclassificationofvocalfoldvibrationsbasedonphonovibrogramfeatures
AT svecjan supportvectormachineclassificationofvocalfoldvibrationsbasedonphonovibrogramfeatures
AT mcwhorterandrew supportvectormachineclassificationofvocalfoldvibrationsbasedonphonovibrogramfeatures
AT kundukmelda supportvectormachineclassificationofvocalfoldvibrationsbasedonphonovibrogramfeatures