Improving trumpet sound simulations by data-driven modelling techniques

Supervisors

- Vincent Fréour (Yamaha R&D division / LMA (UMR CNRS 7031))
- Christophe Vergez (Directeur de Recherche CNRS, LMA (UMR CNRS 7031))
- Bruno Cochelin (Professeur, Ecole Centrale Méditerranée, LMA (UMR CNRS 7031))

Place of internship
Laboratoire de Mécanique et d’Acoustique, LMA, 4 impasse Nikola Tesla, 13013 Marseille
Online meetings with Yamaha corporation (Japan) will be organized during the internship
Duration: 6 months
Gratification: about 600 EUR/ month
Language: French and English
Contact : Vincent Fréour : vincent.freour@music.yamaha.com

Description :
Sound simulation by physical modelling relies on the representation of the physics underlying the functioning of musical instrument. It constitutes an interesting tool to simulate the variety of behaviors of the instrument, and also a very useful tool for musical instrument makers in order to better understand the influence of the different design parameters on the response of the system (sound, blowing pressure, etc.).
Indeed, the instrument designer can investigate numerically the consequences of changes in the conception on the response of the instrument, without having to build a physical prototype. This numerical aid is therefore very interesting to investigate various design choices.

The work will consist of the following phases:
1- Explore different regression and machine learning algorithms for the identification of nonlinear systems using data generated numerically (simple nonlinear systems, simple models of wind instruments)
2- Apply the identification techniques to experimental data collected on an artificial player system at LMA
3- Validate the identified system by running simulations and comparisons with sounds obtained on the artificial player system

More informations about research subject and references in the joint file with french version.