PR204: VOICE SPECTRUM-Making Mandarin Reading Proficiency Visible

YONG HUI WEN Universiti Malaysia Sabah

IRISE26 | Professional Innovator

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This project analyses AI's true linguistic aptitude via a spectrum analysis of reading performance, integrating computational linguistics with language education. Its findings have significant implications for AI-integrated language education, particularly in improving pronunciation tools and facilitating self-directed learning for non-native speakers. VOICE SPECTRUM is an invention that makes Mandarin reading proficiency no longer an invisible audio-visual skill, but rather an understandable voice pattern. Rather than viewing pronunciation as a feature that can be heard only, the innovation brings in spectrum-based visualization to demonstrate how human reading actually acts in regard to tone, pitch shift, rhythm, and control of time.