About: Support vector machine classification of vocal fold vibrations based on Phonovibrogram features     Goto   Sponge   NotDistinct   Permalink

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  • The Phonovibrogram (PVG) has the potential to overcome the subjective or semi-automatic assessment of high-speed videos. Within this study it was proven that PVG image analysis has the necessary sensitivity to capture even minor alterations within vocal fold vibrations induced just by frequency and intensity variations. It was further shown that alterations of vocal fold vibrations are also detectable within acoustic perturbation measures. The high accordance between the results further proves that changes within the acoustic signal can directly be traced back to alterations of vocal fold vibrations.
  • The Phonovibrogram (PVG) has the potential to overcome the subjective or semi-automatic assessment of high-speed videos. Within this study it was proven that PVG image analysis has the necessary sensitivity to capture even minor alterations within vocal fold vibrations induced just by frequency and intensity variations. It was further shown that alterations of vocal fold vibrations are also detectable within acoustic perturbation measures. The high accordance between the results further proves that changes within the acoustic signal can directly be traced back to alterations of vocal fold vibrations. (en)
Title
  • Support vector machine classification of vocal fold vibrations based on Phonovibrogram features
  • Support vector machine classification of vocal fold vibrations based on Phonovibrogram features (en)
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  • Support vector machine classification of vocal fold vibrations based on Phonovibrogram features
  • Support vector machine classification of vocal fold vibrations based on Phonovibrogram features (en)
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  • RIV/61989592:15310/11:33116377!RIV12-MSM-15310___
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  • 233452
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  • RIV/61989592:15310/11:33116377
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  • Phonovibrography, vocal folds, vibration, image analysis, support vector machine (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [6173EFD9BF50]
http://linked.open...i/riv/mistoVydani
  • Rijeka, Croatia
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  • Neuveden
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  • Advances in vibration analysis research
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  • Švec, Jan G.
  • Döllinger, Michael
  • Kunduk, Melda
  • Lohscheller, Jörg
  • Mcwhorter, Andrew
number of pages
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  • InTech
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  • 978-953-307-209-8
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  • 15310
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