Automatic characterization of ornamentation from bassoon recordings for expressive synthesis

Abstract

Comunicació presentada a: 9th International Conference on Music Perception and Cognition celebrada del 22 al 26 d'agost de 2006 a Bolonya, Itàlia.

Expressive performance characterization is traditionally based on the analysis of the main differences between performances, players, playing styles and emotional intentions. This work addresses the characterization of expressive bassoon ornaments by analyzing audio recordings played by a professional bassoonist. This characterization is then used to generate expressive ornaments from symbolic representations by means of Machine Learning.