Suiview: A Web-Based Application that Enables Users to Practice Wind Instrument Performance

Author:

Watanabe Misato,Onoue Yosuke,Uemura Aiko,Kitahara Tetsuro

Publisher

Springer International Publishing

Reference7 articles.

1. Brown, J., Houix, O., McAdams, S.: Feature dependence in the automatic identification of musical woodwind instruments. J. Acoust. Soc. Am. 3(109), 1064–1072 (2001)

2. Giraldo, S., Ramirez, R., Waddell, G., Williamon, A.: A real-time feedback learning tool to visualize sound quality in violin performances. In: Proceedings of MML 2017, pp. 19–24 (2017)

3. Hirano, T., Kudo, K., Ohtsuki, T., Kinoshita, H.: Feature dependence in the automatic identification of musical woodwind instruments. Mot. Control 3(17), 256–272 (2013)

4. Knight, T., Bouillot, N., Cooperstock, J.: Visualization feedback for musical ensemble practice: a case study on phrase articulation and dynamics. In: Proceedings of VDA 2012 (2012)

5. Michael, P.: The effects of modeling, self-evaluation, and self-listening on junior high instrumentalists’ music performance and practice attitude. SAGE J. 4(49), 307–322 (2001)

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