| 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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