| 研究実績の概要 |
We conducted an extensive literature review on languages that use phonation as a contrastive cue. This review led us to perform field recordings of Zapotec and Mixe languages in Oaxaca, Mexico. We annotated and classified their phonation. Additionally, we conducted several subjective experiments primarily focusing on the effect of linguistic background on the classification of creaky words. We conducted several simulations to fine-tune the hyperparameters of the machine learning algorithms used for predicting psychoacoustic roughness. We published these results in several papers. In relation to this, we discovered that phonation types were positively associated with psychoacoustic features: falsetto with pitch, whisper with sharpness, and creakiness with loudness and roughness
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