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Goldsmiths - University of London

Datasets for the Analysis of Expressive Musical Gestures

Sarasúa, Álvaro; Caramiaux, Baptiste; Tanaka, Atau and Ortiz, Miguel. 2017. 'Datasets for the Analysis of Expressive Musical Gestures'. In: Moco 2017. London, United Kingdom. [Conference or Workshop Item]

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Abstract or Description

In this paper we present two datasets of instrumental gestures per- formed with expressive variations: ve violinists performing stan- dard pedagogical phrases with variation in dynamics and tempo; and two pianists performing a repertoire piece with variations in tempo, dynamics and articulation. We show the utility of these datasets by highlighting the di erent movement qualities embed- ded in both datasets. In addition, for the violin dataset, we report on gesture recognition tests using two state-of-the-art realtime gesture recognizers. We believe that these resources create op- portunities for further research on the understanding of complex human movements through computational methods.

Item Type: Conference or Workshop Item (Paper)

Identification Number (DOI):

10.1145/3077981.3078032

Related URLs:

Departments, Centres and Research Units:

Computing

Dates:

DateEvent
6 April 2017Accepted
28 June 2017Published

Event Location:

London, United Kingdom

Item ID:

20800

Date Deposited:

08 Aug 2017 09:44

Last Modified:

08 Aug 2017 09:44

URI: http://research.gold.ac.uk/id/eprint/20800

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