Voice disability index using pitch rate

Shuji Shinohara, Mitsuteru Nakamura, Shunji Mitsuyoshi, Shinichi Tokuno, Yasuhiro Omiya, Naoki Hagiwara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We have developed pitch rate (pitch detection ratio) in the speech segment as a voice disability index for use in free form speech data from smartphones. Its performance was compared with jitter, shimmer, and harmonic to noise ratio (HNR) indices. Conventionally, the performance of these indices is evaluated using long vowel sounds, but in this study we used the read speech of 'Rainbow passage'. As a result, although jitter, shimmer, HNR displayed good performance for long vowel sounds, for the read speech data, performance of shimmer and HNR was significantly low. However, although jitter performed comparatively well for read speech, pitch rate was found to be a better indicator for voice disability between patients and healthy individuals.

Original languageEnglish (US)
Title of host publicationIECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages557-560
Number of pages4
ISBN (Electronic)9781467377911
DOIs
StatePublished - Jan 1 2016
Externally publishedYes
Event2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016 - Kuala Lumpur, Malaysia
Duration: Dec 4 2016Dec 8 2016

Publication series

NameIECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences

Conference

Conference2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016
CountryMalaysia
CityKuala Lumpur
Period12/4/1612/8/16

Keywords

  • harmonic to noise ratio
  • jitter
  • pitch detection ratio
  • read speech
  • shimmer
  • voice disability

ASJC Scopus subject areas

  • Biomedical Engineering
  • Instrumentation

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