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abstract

Appling Artificial Intelligence Techniques on Singing Teaching of Taiwanese Opera

Published:29 November 2022Publication History

ABSTRACT

Taiwanese opera is the important culture inheritance in Taiwan, however, this culture inheritance is dying in recently years. Although the Taiwan government and various Taiwanese opera troupes have worked hard for many years to promote this culture to campuses, and held several interest courses; this culture inheritance is still losing and dying. For elder people, Taiwanese opera and Taiwanese cultures are both precious culture treasures and parts of their childhood memories. Nowadays, young people in Taiwan are no longer familiar to Taiwanese, neither to Taiwanese opera singings. It is hard for young people to learn how appreciating this traditional culture. In this study, we refer to the current promotion methods of drama troupes which learn the singing method and posture of Taiwanese opera, we combine artificial intelligence techniques into traditional Taiwanese opera on singing and posture. The proposed system could analyzes students’ voice and postures, and then assists teachers to improve the learning performance of students. Students could compare their singing skill or postures with professional actors and adjust their singing and posture. Students of Taiwanese opera interest class can practice independently without professional teacher's guidance at home. In campus promotion, this game-like promotion method brings young people more acceptance of Taiwanese opera.

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References

  1. Introduction to Taiwanese Opera. Retrieved from https://xinterra.com/opera/taiwan-intro.html.Google ScholarGoogle Scholar
  2. Bao-Yu Tseng. (2015). Design of Taiwanese Opera Teaching APP. Master's thesis. Huafan University, Taiwan.Google ScholarGoogle Scholar
  3. Camillo Lugaresi, Jiuqiang Tang, Hadon Nash, Chris McClanahan, Esha Uboweja, Michael Hays, Fan Zhang, Chuo-Ling Chang, Ming Yong, Juhyun Lee, Wan-The Chang, Wei Hua, Manfred Georg & Matthias Grundmann. (2019). MediaPipe: A Framework for Building Perception Pipelines.Google ScholarGoogle Scholar
  4. Rong Gong & Xavier Serra. (2017). Identification of potential Music Information Retrieval technologies for computer-aided jingju singing training.Google ScholarGoogle Scholar
  5. Our system introduction video url: https://youtu.be/7HyVVCNl2Xo (2022)Google ScholarGoogle Scholar

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          • Published in

            cover image ACM Conferences
            VRST '22: Proceedings of the 28th ACM Symposium on Virtual Reality Software and Technology
            November 2022
            466 pages
            ISBN:9781450398893
            DOI:10.1145/3562939

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            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 29 November 2022

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            Overall Acceptance Rate66of254submissions,26%

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