Determining feature relevance in subject responses to musical stimuli

Morwaread Farbood, Bernd Schoner

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a method that determines the relevance of a set of signals (musical features) given listener judgments of music in an experimental setting. Rather than using linear correlation methods, we allow for nonlinear relationships and multi-dimensional feature vectors. We first provide a methodology based on polynomial functions and the least-mean-square error measure. We then extend the methodology to arbitrary nonlinear function approximation techniques and introduce the Kullback-Leibler Distance as an alternative relevance metric. The method is demonstrated first with simple artificial data and then applied to analyze complex experimental data collected to examine the perception of musical tension.

Original languageEnglish (US)
Title of host publicationMathematics and Computation in Music: Second International Conference, MCM 2009, John Clough Memorial Conference, Proceedings
Pages115-129
Number of pages15
Volume38
DOIs
StatePublished - 2009

Publication series

NameCommunications in Computer and Information Science
Volume38
ISSN (Print)18650929

Fingerprint

Correlation methods
Mean square error
Polynomials

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Farbood, M., & Schoner, B. (2009). Determining feature relevance in subject responses to musical stimuli. In Mathematics and Computation in Music: Second International Conference, MCM 2009, John Clough Memorial Conference, Proceedings (Vol. 38, pp. 115-129). (Communications in Computer and Information Science; Vol. 38). https://doi.org/10.1007/978-3-642-02394-1_11

Determining feature relevance in subject responses to musical stimuli. / Farbood, Morwaread; Schoner, Bernd.

Mathematics and Computation in Music: Second International Conference, MCM 2009, John Clough Memorial Conference, Proceedings. Vol. 38 2009. p. 115-129 (Communications in Computer and Information Science; Vol. 38).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Farbood, M & Schoner, B 2009, Determining feature relevance in subject responses to musical stimuli. in Mathematics and Computation in Music: Second International Conference, MCM 2009, John Clough Memorial Conference, Proceedings. vol. 38, Communications in Computer and Information Science, vol. 38, pp. 115-129. https://doi.org/10.1007/978-3-642-02394-1_11
Farbood M, Schoner B. Determining feature relevance in subject responses to musical stimuli. In Mathematics and Computation in Music: Second International Conference, MCM 2009, John Clough Memorial Conference, Proceedings. Vol. 38. 2009. p. 115-129. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-02394-1_11
Farbood, Morwaread ; Schoner, Bernd. / Determining feature relevance in subject responses to musical stimuli. Mathematics and Computation in Music: Second International Conference, MCM 2009, John Clough Memorial Conference, Proceedings. Vol. 38 2009. pp. 115-129 (Communications in Computer and Information Science).
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