| 研究課題/領域番号 |
22K00510
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| 研究種目 |
基盤研究(C)
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| 配分区分 | 基金 |
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| 応募区分 | 一般 |
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| 審査区分 |
小区分02060:言語学関連
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| 研究機関 | 会津大学 |
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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)
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| 研究期間 (年度) |
2022-04-01 – 2026-03-31
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| 研究課題ステータス |
交付 (2022年度)
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| 配分額 *注記 |
1,950千円 (直接経費: 1,500千円、間接経費: 450千円)
2025年度: 390千円 (直接経費: 300千円、間接経費: 90千円)
2024年度: 260千円 (直接経費: 200千円、間接経費: 60千円)
2023年度: 650千円 (直接経費: 500千円、間接経費: 150千円)
2022年度: 650千円 (直接経費: 500千円、間接経費: 150千円)
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| キーワード | peak delay / pitch accent / f0 / consonant f0 effects / cue conflicts |
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| 研究開始時の研究の概要 |
This research investigates whether pitch accent peak delay occurs in Tokyo Japanese words with voiced consonants. Peak delay occurs after voiced consonants in Kyungsang Korean, which like Tokyo Japanese, has pitch accent. However, in Kyungsang Korean, pitch also plays an important role in distinguishing consonants in addition to pitch accent. On the other hand, in Tokyo Japanese, pitch does not play as important a role in distinguishing consonants compared to Kyungsang Korean. As such, if peak delay is observed in Tokyo Japanese, it may occur to a lesser degree and less consistently.
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| 研究実績の概要 |
The research was delayed by one year because of a previous project, which was itself delayed by one year due to COVID-19. The previous research project was concluded successfully, with Korean data collected and analyzed. Two papers were written from these results, both accepted for publication and presentation at ICPhS 2023 in Prague. 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).
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
4: 遅れている
理由
The previous project was delayed due to COVID-19 and so 2022 was spent working on it, instead of this project.
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| 今後の研究の推進方策 |
I plan to start preparing for data collection of Tokyo Japanese and Fukushima Japanese speakers in June and July 2023.
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