Mathematics and Computation in Music

MCM 2015: Mathematics and Computation in Music pp 173-178

Evaluating Singer Consistency and Uniqueness in Vocal Performances

Conference paper

DOI: 10.1007/978-3-319-20603-5_17

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9110)
Cite this paper as:
Devaney J. (2015) Evaluating Singer Consistency and Uniqueness in Vocal Performances. In: Collins T., Meredith D., Volk A. (eds) Mathematics and Computation in Music. MCM 2015. Lecture Notes in Computer Science, vol 9110. Springer, Cham

Abstract

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.

Keywords

Singing Music performance Intra-performer similarity Inter-performer differences Classification Discrimination 

Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  1. 1.School of MusicThe Ohio State UniversityColumbusUSA

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