Multilingual evaluation of voice disability index using pitch rate

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

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


We propose the use of the pitch rate of free-form speech recorded by smartphones as an index of voice disability. This research compares the effectiveness of pitch rate, jitter, shimmer, and harmonic-to-noise ratio (HNR) as indices of voice disability in English, German, and Japanese. Normally, the evaluation of these indices is performed using long-vowel sounds; however, this study included the recitation of a set passage, which is more similar to free-form speech. The results showed that for English, the jitter, shimmer, and HNR were very effective indices for long-vowel sounds, but the shimmer and HNR for read speech were considerably worse. Although the effectiveness of jitter as an index was maintained for read speech, the pitch rate was better in distinguishing between healthy individuals and patients with illnesses affecting their voice. The read speech results in German, Japanese, and English were similar, and the pitch rate showed the greatest efficiency for identification. Nevertheless, compared to English, the identification efficiency for the other two languages was lower.

Original languageEnglish (US)
Pages (from-to)765-772
Number of pages8
JournalAdvances in Science, Technology and Engineering Systems
Issue number3
StatePublished - 2017
Externally publishedYes


  • Harmonic to noise ratio
  • Jitter
  • Multilingual evaluation
  • Pitch detection ratio
  • Read speech
  • Shimmer
  • Voice disability

ASJC Scopus subject areas

  • Engineering (miscellaneous)
  • Physics and Astronomy (miscellaneous)
  • Management of Technology and Innovation


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