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Conductor Following With Artificial Neural Networks

By Tommi Ilmonen and Tapio Takala

Abstract

This paper presents techniques based on artificial neural networks to extract rhythm and nuance information from conductor's movements. Neural networks are combined with heuristics to achieve a natural reaction by a virtual musician. Main emphasis has been on tracking the rhythm implied by conductor's movements. We have approached the conductor following as a modular gesture recognition and musical expression synthesis task. The process of conductor following is divided into three tasks: gesture identification, gesture meaning analysis and musical expression synthesis

Year: 1999
OAI identifier: oai:CiteSeerX.psu:10.1.1.41.9307
Provided by: CiteSeerX
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