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Estimation of saxophone reed parameters during playing
Alberto Muñoz Arancón1, Bruno Gazengel1, Jean-Pierre Dalmont1
1Laboratoire d'Acoustique de l'Université du Maine, Unité Mixte de Recherche CNRS 6613, Avenue Olivier Messiaen, 72085 Le Mans cedex 9, France.
The Journal of the Acoustical Society of America
|June 3, 2016
Summary
This study presents a method to estimate single reed parameters using an instrumented mouthpiece. The technique accurately estimates parameters at low to medium dynamics, revealing model complexity increases with sound levels.
Area of Science:
- Acoustics and Musical Instrument Physics
- Vibrational Dynamics and Control
Background:
- Accurate modeling of single reed instruments like the saxophone is crucial for understanding their acoustic behavior.
- Estimating physical parameters of the reed during performance is challenging due to complex interactions and dynamic variations.
Purpose of the Study:
- To develop and validate an iterative method for estimating single reed parameters in real-time during playing.
- To investigate the influence of different physical models on parameter estimation accuracy.
- To analyze sensor uncertainties and method limitations for a tenor saxophone reed.
Main Methods:
- Utilized an instrumented mouthpiece with sensors to capture reed tip movement during performance.
- Employed an iterative estimation approach to determine reed parameters based on measured data.
- Tested various physical models of reed tip oscillation, including non-linear stiffness and damping.
Main Results:
- The estimation method achieved small errors for low and medium dynamic levels (piano and mezzoforte).
- Sensor uncertainties and inherent method limitations were quantified.
- Model complexity required for accurate reed behavior description increases with dynamic levels.
Conclusions:
- The developed iterative method is effective for estimating single reed parameters at lower sound intensities.
- A non-linear oscillator model with stiffness and damping, but negligible mass, is most suitable for medium dynamics.
- Further research into more complex models is needed for high dynamic levels.
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