Music can be a communication mean between performer and listener. Several studies demonstrated how different expressive intentions can be conveyed by a musical performance and correctly recognized by the listener. Some models for the synthesis can be found in the literature. In this paper we describe three automatic expressive analysis methods based on studies made at CSC during the last year. A brief overview of their implementation is presented. Finally, some results of the validation are sketched.

Expressive classifier at CSC: an overview of the main research streams

CANAZZA TARGON, SERGIO;DE POLI, GIOVANNI;MION, LUCA;RODA', ANTONIO;VIDOLIN, ALVISE;ZANON, PATRICK
2003

Abstract

Music can be a communication mean between performer and listener. Several studies demonstrated how different expressive intentions can be conveyed by a musical performance and correctly recognized by the listener. Some models for the synthesis can be found in the literature. In this paper we describe three automatic expressive analysis methods based on studies made at CSC during the last year. A brief overview of their implementation is presented. Finally, some results of the validation are sketched.
XIV Colloquium on Musical Informatics (XIV CIM)
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11577/2472110
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