和声(颜色)
要素(刑法)
计算机科学
艺术
视觉艺术
政治学
法学
作者
Yubo Zhou,Weizhen Bian,Kaitai Zhang,Xiaohan Gu
标识
DOI:10.1109/iscslp63861.2024.10800517
摘要
In traditional medical practices, music therapy has proven effective in treating various psychological and physiological ailments. Particularly in Eastern traditions, the Five Elements Music Therapy (FEMT), rooted in traditional Chinese medicine, possesses profound cultural significance and unique therapeutic philosophies. With the rapid advancement of Information Technology and Artificial Intelligence, applying these modern technologies to FEMT could enhance the personalization and cultural relevance of the therapy and potentially improve therapeutic outcomes. In this article, we developed a music therapy system for the first time by applying the theory of the five elements in music therapy to practice. This innovative approach integrates advanced Information Technology and Artificial Intelligence with Five-Element Music Therapy (FEMT) to enhance personalized music therapy practices. As traditional music therapy predominantly follows Western methodologies, the unique aspects of Eastern practices, specifically the Five-Element theory from traditional Chinese medicine, should be considered. This system aims to bridge this gap by utilizing computational technologies to provide a more personalized, culturally relevant, and therapeutically effective music therapy experience. Index Terms: Emotion Recognition, Multi-modal Emotion Analysis, AI in Music Therapy, Personalized Music Generation, Voice Synthesis, Machine Learning in Therapy, Interactive Music Interfaces, Therapeutic Music Generation, Cross-Cultural Therapy Applications, Traditional Chinese Medicine (TCM), Five-Element Music Therapy
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