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The Mastery Evaluation Using Singing Learning Support System based on the Visualization of Acoustic Features of Learners’ Singing Voice
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, , , , , , Shinshu University, Japan

E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education, in Kona, Hawaii, United States Publisher: Association for the Advancement of Computing in Education (AACE), San Diego, CA

Abstract

As acoustic features of singing voice, there are pitch, volume, and frequency spectrum and the like. There are findings that the conditions of typical and good voice include a voice vibrato and singer's formant, and these conditions are affecting the acoustic impression on singing voice. Correct vocal technique has been considered only be learned by individual training by skilled professionals of voice trainers. The purpose of this study is to develop a vocal music utterance learning support system based on the visualization of acoustic features of learners’ singing voice, and to evaluate the mastery of learners’ singing voice using the system. As a result, there are no difference between the mastery of singing voice of learners who use the system we developed and the mastery of singing voice of learners who listened to actual voice of professional vocalists.

Citation

Ikeda, K., Haga, T., Kayama, M., Itoh, K., Yatsuka, M. & Higashibara, Y. (2015). The Mastery Evaluation Using Singing Learning Support System based on the Visualization of Acoustic Features of Learners’ Singing Voice. In Proceedings of E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1981-1985). Kona, Hawaii, United States: Association for the Advancement of Computing in Education (AACE). Retrieved December 12, 2019 from .

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