Conductor Following With Artificial Neural Networks
Tommi Ilmonen, Tapio Takala · 1999
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.