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2024 Interspeech INTERSPEECH 2024

CALL system using pitch-accent feature representations reflecting listeners’ subjective adequacy

This paper presents a CALL system that implements a method for automatically and quantitatively evaluating the pitch accents of spoken words of Japanese learners in terms of how well they are accepted by native speakers.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Interdisciplinary

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