F0 cue conflicts between tone and consonant effects

2022 Fiscal Year Research-status Report

• Project/Area Number: 22K00510
• Research Institution: The University of Aizu
• Principal Investigator: Perkins Jeremy 会津大学, コンピュータ理工学部, 上級准教授 (30725635)
• Project Period (FY): 2022-04-01 – 2026-03-31
• Keywords: peak delay / pitch accent / f0

Outline of Annual Research Achievements

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).

Current Status of Research Progress

4: Progress in research has been delayed.

Reason

The previous project was delayed due to COVID-19 and so 2022 was spent working on it, instead of this project.

Strategy for Future Research Activity

I plan to start preparing for data collection of Tokyo Japanese and Fukushima Japanese speakers in June and July 2023.

Causes of Carryover

This project hasn't started yet because the previous project was delayed.