2019Unpublished venueOpen access

Modelling and Identification of the Musicians Blowing Part and the Flute Musical Instrument

Gaby Abou Haidar, Roy Abi Zeid Daou, Xavier Moreau

Open full text 5 citations

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.

About this research paper

What this paper is about

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.

Why it matters

OpenAlex reports 5 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available 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.

Key concepts: Flute, Exciter, Identification (biology), Musical, Musical instrument, Transfer function, Computer science, System identification

Related papers

Back to paper searchBrowse research topicsOriginal source
Modelling and Identification of the Musicians Blowing Part and the Flute Musical Instrument — Research Paper | ScholarLens