The visual representation of perception of American English vowels by university-level Korean listeners: a multidimensional scaling-based model
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초록
This paper tries to represent Korean listeners’ relative perceptual similarities between nine American English vowels on a two-dimensional perceptual space through a multidimensional scaling analysis of the confusion matrices from identification tests. It is demonstrated that the derived perceptual vowel space through a multidimensional scaling analysis is visually quite similar to the acoustic vowel map with F1 and F2 values in the literature. In the case of Korean listeners’ American English vowel perception, as the perceptual vowel map represents perceptually similar vowels close to each other on a two-dimensional map, it will become easier to visually interpret which vowel pair a Korean listener has perceptual difficulties with. An optimal model with a multidimensional scaling analysis is also proposed to drastically reduce stress by splitting the confusion matrices into front and back vowel groups and conducting multidimensional scaling analyses separately. The split matrix model can explain the data better than the single matrix model.
Abstract
This paper tries to represent Korean listeners’ relative perceptual similarities between nine American English vowels on a two-dimensional perceptual space through a multidimensional scaling analysis of the confusion matrices from identification tests. It is demonstrated that the derived perceptual vowel space through a multidimensional scaling analysis is visually quite similar to the acoustic vowel map with F1 and F2 values in the literature. In the case of Korean listeners’ American English vowel perception, as the perceptual vowel map represents perceptually similar vowels close to each other on a two-dimensional map, it will become easier to visually interpret which vowel pair a Korean listener has perceptual difficulties with. An optimal model with a multidimensional scaling analysis is also proposed to drastically reduce stress by splitting the confusion matrices into front and back vowel groups and conducting multidimensional scaling analyses separately. The split matrix model can explain the data better than the single matrix model.
참고문헌 (34)
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