Search results for author:"Kyoko Ikeda"
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The Mastery Evaluation Using Singing Learning Support System based on the Visualization of Acoustic Features of Learners’ Singing Voice
Kyoko Ikeda; Tasuku Haga; Mizue Kayama; Kazunori Itoh; Mitsunori Yatsuka; Yoshinori Higashibara
E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2015 (Oct 19, 2015) pp. 1981–1985
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...
Topics: research, Tools & Systems, Implementation Examples & Issues