AES Section Meeting Reports

Ireland - May 14, 2019

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Computer-generated musical performances are often criticized for being unable to match the expressivity found in performances by humans. Two approaches have been often adopted to research into modelling expressive music performance on computers: (1) modelling patterns of deviations between a recorded human performance and the music score and (2) modelling the cognitive processes involved in a musical performance. Both approaches are valid and can complement each other. Leandro discussed the role of errors when modelling expressive music performance, which concerns the physical manipulation of the instrument by the performer. He also presented a study on the motor and biomechanical processes of the guitar performance. Some findings on the speed, precision, and force of a guitarist´s left-hand were presented.

One participant questioned the application of this research, suggesting the development of new musical instruments. Leandro revealed that this is a focus of his current research.

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AES - Audio Engineering Society