Understanding the content in musical gestures is an ambitious issue in scientific environment. Several studies demonstrated how different expressive intentions can be conveyed by a musical performance and correctly recognized by the listeners: several models for the synthesis can also be found in the literature. In this paper we draw an overview of the studies which have been done at the Center of Computational Sonology (CSC) during the last year on automatic recognition of musical gestures. These studies can be grouped in two main branches: analysis with the score knowledge and analysis without. A brief description of the implementations and validations is presented.

Recognition of musical gestures in known pieces and in improvisations

CIROTTEAU, DAMIEN MARIE PIERRE;De Poli, Giovanni.;Mion, Luca;Zanon, Patrick
2004

Abstract

Understanding the content in musical gestures is an ambitious issue in scientific environment. Several studies demonstrated how different expressive intentions can be conveyed by a musical performance and correctly recognized by the listeners: several models for the synthesis can also be found in the literature. In this paper we draw an overview of the studies which have been done at the Center of Computational Sonology (CSC) during the last year on automatic recognition of musical gestures. These studies can be grouped in two main branches: analysis with the score knowledge and analysis without. A brief description of the implementations and validations is presented.
Gesture Based Communication in Human-Computer Interaction
9783540210726
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/2450220
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