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(2015) Mathematics and computation in music, Dordrecht, Springer.
Identifying consistent and unique aspects of performances is an important aspect of modeling performance style. This paper presents a detailed analysis of inter-singer differences and intra-singer similarities using support vector machines to predict singer identity of a performance from pitch, timing, and dynamics performance parameters. The analysis was performed on a dataset of 72 recordings of the first verse of Schubert's "Ave Maria", the dataset consists of 3 a cappella and 3 accompanied performances by 6 professional and 6 non-professional singers.
Publication details
DOI: 10.1007/978-3-319-20603-5_17
Full citation:
Devaney, J. (2015)., Evaluating Singer consistency and uniqueness in vocal performances, in T. Collins, D. Meredith & A. Volk (eds.), Mathematics and computation in music, Dordrecht, Springer, pp. 173-178.
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