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Technical ear training is a method to improve the ability to focus on a speci?c sound attribute and to communicate using the vocabularies and units shared in Audio Engineering. In designing the successful course in a sound engineers’ educational institution, it is essential to have a gradual increase in the task dif?culty. In this e-Brief, the authors investigated creating a predictive model of objective dif?culty for a given music excerpt when it is used in a peak identi?cation task of technical ear training. The models consisting of six or seven acoustic features, including statistics on attack transients and power spectrum, showed overall better results.
Author (s): Marui, Atsushi; Kamekawa, Toru
Affiliation:
Tokyo University of the Arts, Adachi-ku, Tokyo, Japan
(See document for exact affiliation information.)
AES Convention: 147
Paper Number:565
Publication Date:
2019-10-06
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Session subject:
Recording and Production
Permalink: https://aes2.org/publications/elibrary-page/?id=20588
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Marui, Atsushi; Kamekawa, Toru; 2019; Predicting Objective Difficulty in Peak Identification Task of Technical Ear Training [PDF]; Tokyo University of the Arts, Adachi-ku, Tokyo, Japan; Paper 565; Available from: https://aes2.org/publications/elibrary-page/?id=20588
Marui, Atsushi; Kamekawa, Toru; Predicting Objective Difficulty in Peak Identification Task of Technical Ear Training [PDF]; Tokyo University of the Arts, Adachi-ku, Tokyo, Japan; Paper 565; 2019 Available: https://aes2.org/publications/elibrary-page/?id=20588