F0 cue conflicts between tone and consonant effects

由于之前的一个项目因新冠肺炎疫情而推迟了一年，因此研究推迟了一年。之前的研究项目顺利结束，收集并分析了韩国的数据。根据这些结果撰写了两篇论文，均被接受在布拉格的ICPhS 2023上发表和展示。第一篇论文是对普通和紧张摩擦音的声学分析，表明释放持续时间和频谱倾斜不同；此外，心理声学粗糙度进行了分析，表明它在识别韩国紧张障碍方面表现得与频谱倾斜一样好。第二篇论文是与计算机科学家Yu Yan教授共同撰写的，他在机器学习方面的知识使我们能够使用随机森林机器学习技术来测试哪些声音线索对于识别三种朝鲜语阻塞类型（紧张，松弛和吸气）是必要和充分的。

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).