Technology in the empirical study of musical performance
Abstract
This paper presents methods and describes the experience of using computer technology in undergraduate school subjects and practices in the context of music performance research and higher level music education. The use of computational tools for quantitative analysis of sound parameters is explored as a rich medium for music teaching and research. Professionals and students evaluated the experiencie as positive, allowing for a good understanding of the opportunities and challenges presented by the proposed approach.
Keywords:
Empirical study of musical performance, research in musical performance, Technology in empirical study
References
Clarke, E. (2004). Empirical methods in the study of performance. Empirical musicology: Aims, methods, prospects, pages 77–102.
Cook, N. (2013). Beyond the score: Music as performance. Oxford University Press.
da Cunha Francisco Teixeira, E. (2010). Análise quantitativa da expressividade musical com base em medidas acústicas e do gesto físico. Master’s thesis, Engenharia Elétrica / Universidade Federal de Minas Gerais, Universidade Federal de Minas Gerais.
Gonzalez-Sanchez, V., Dahl, S., Hatfield, J. L., and Godøy, R. I. (2019). Characterizing movement fluency in musical performance: Toward a generic measure for technology enhanced learning. Frontiers in psychology, 10:84.
Lindström, E., Juslin, P. N., Bresin, R., and Williamon, A. (2003). “expressivity comes from within your soul”: A questionnaire study of music students’ perspectives on expressivity. Research Studies in Music Education, 20(1):23–47.
Loureiro, M., Yehia, H., DE P AULA, H., Campolina, T., and MO TA, D. (2009). Content analysis of note transitions in music performance. In Proceedings of the 6th Sound and Music Computing Conference (SMC 2009). Porto, Portugal, pages 355–359.
Waddell, G. and Williamon, A. (2019). Technology use and attitudes in music learning. Frontiers in ICT, 6:11.
Williamon, A. (2004). Musical excellence: Strategies and techniques to enhance performance. Oxford University Press.
Zorzal, R. C. (2015). Prática musical e planejamento da performance: contribuições teórico-conceituais para o desenvolvimento da autonomia do estudante de instrumento musical. OPUS, 21(3):83–110.
Cook, N. (2013). Beyond the score: Music as performance. Oxford University Press.
da Cunha Francisco Teixeira, E. (2010). Análise quantitativa da expressividade musical com base em medidas acústicas e do gesto físico. Master’s thesis, Engenharia Elétrica / Universidade Federal de Minas Gerais, Universidade Federal de Minas Gerais.
Gonzalez-Sanchez, V., Dahl, S., Hatfield, J. L., and Godøy, R. I. (2019). Characterizing movement fluency in musical performance: Toward a generic measure for technology enhanced learning. Frontiers in psychology, 10:84.
Lindström, E., Juslin, P. N., Bresin, R., and Williamon, A. (2003). “expressivity comes from within your soul”: A questionnaire study of music students’ perspectives on expressivity. Research Studies in Music Education, 20(1):23–47.
Loureiro, M., Yehia, H., DE P AULA, H., Campolina, T., and MO TA, D. (2009). Content analysis of note transitions in music performance. In Proceedings of the 6th Sound and Music Computing Conference (SMC 2009). Porto, Portugal, pages 355–359.
Waddell, G. and Williamon, A. (2019). Technology use and attitudes in music learning. Frontiers in ICT, 6:11.
Williamon, A. (2004). Musical excellence: Strategies and techniques to enhance performance. Oxford University Press.
Zorzal, R. C. (2015). Prática musical e planejamento da performance: contribuições teórico-conceituais para o desenvolvimento da autonomia do estudante de instrumento musical. OPUS, 21(3):83–110.
Published
2021-08-24
How to Cite
OLIVEIRA NETO, Aluizio Barbosa de; LOUREIRO, Maurício Alves; SCHIAVONI, Flávio Luiz.
Technology in the empirical study of musical performance. In: CONGRESS ON TECHNOLOGIES IN EDUCATION (CTRL+E), 6. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 430-436.
