Title: Modelling and Identification of the Musicians Blowing Part and the Flute Musical Instrument
Abstract: The implementation of digital musical instruments has been growing in the last few years. The musical domain is relying on the use of electrical musical systems that are still manually controlled by humans. Although the full control of such systems remains more theoretical especially when the melody is not well known and/or saved within this electrical musical system, this work tries to pass those boundaries by creating a fully autonomous control system for the flute instrument. As this paper is part of a bigger project, the modelling and identification part of the system formed by the musician lungs, mouth, and the exciter of the flute will be presented. The static and the dynamic model identification will be verified and will lead to a well-defined transfer function for the system. This TF will be used in future works for the control purpose.