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2022 年度 実績報告書

Psychoacoustic roughness as a measure of glottalization in consonants

研究課題

研究課題/領域番号 19K13162
研究機関会津大学

研究代表者

Perkins Jeremy  会津大学, コンピュータ理工学部, 上級准教授 (30725635)

研究期間 (年度) 2019-04-01 – 2023-03-31
キーワードroughness / f0 / spectral tilt / Korean / Thai / laryngeal constriction
研究実績の概要

This project was concluded successfully in 2022, with Korean data collected and analyzed in summer 2022. Two papers were then written from these results during the winter of 2022-23. Both papers were accepted for publication and presentation at ICPhS 2023 in Prague, Czechia.

The first paper was an acoustic analysis of the plain and tense fricatives, showing that release duration and spectral tilt differed; also, psychoacoustic roughness was analyzed, showing that it performed equally well as spectral tilt in identifying Korean tense obstruents.

The second paper was written jointly with Prof. Yu Yan, a Computer Scientist whose knowledge on machine learning allowed us to use the random forest machine learning technique to test which acoustic cues were necessary and sufficient to identify the three Korean obstruent types (tense, lax and aspirated). This paper offers additional insights into which acoustic measures were most important in the learning algorithm to successfully learn the differences between the three Korean obstruents. These importance values can offer a possible insight into which of these acoustic cues may be most useful in phonological perception.

  • 研究成果

    (3件)

すべて 2023

すべて 雑誌論文 (3件) (うち国際共著 3件、 査読あり 3件)

  • [雑誌論文] Psychoacoustic features explain creakiness classifications made by naive and non-naive listeners2023

    • 著者名/発表者名
      Julian Villegas, Seunghun J. Lee, Jeremy Perkins & Konstantin Markov
    • 雑誌名

      Speech Communication

      巻: 147 ページ: 74-81

    • DOI

      10.1016/j.specom.2023.01.006

    • 査読あり / 国際共著
  • [雑誌論文] A production study of Korean consonants2023

    • 著者名/発表者名
      Jeremy Perkins, Dahm Lee, Seunghun J. Lee
    • 雑誌名

      20th International Congress of Phonetic Sciences

      巻: - ページ: -

    • 査読あり / 国際共著
  • [雑誌論文] Using machine learning to model the three-way laryngeal contrast in Korean2023

    • 著者名/発表者名
      Jeremy Perkins, Yu Yan, Dahm Lee, Seunghun J. Lee
    • 雑誌名

      20th International Congress of Phonetic Sciences

      巻: - ページ: -

    • 査読あり / 国際共著

URL: 

公開日: 2023-12-25  

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