Open Access
| Issue |
Acta Acust.
Volume 9, 2025
|
|
|---|---|---|
| Article Number | 63 | |
| Number of page(s) | 13 | |
| Section | Musical Acoustics | |
| DOI | https://doi.org/10.1051/aacus/2025038 | |
| Published online | 22 October 2025 | |
- T. Colinot, C. Vergez, P. Guillemain, J.B. Doc: Multistability of saxophone oscillation regimes and its influence on sound production. Acta Acustica 5 (2021) 33. [CrossRef] [EDP Sciences] [Google Scholar]
- R. Mattéoli, J. Gilbert, S. Terrien, J.P. Dalmont, C. Vergez, S. Maugeais, E. Brasseur: Diversity of ghost notes in tubas, euphoniums and saxhorns. Acta Acustica 6 (2022) 32. [CrossRef] [EDP Sciences] [Google Scholar]
- S. Terrien, C. Vergez, B. Fabre, P. de la Cuadra: Emergence of quasiperiodic regimes in a neutral delay model of flute-like instruments: influence of the detuning between resonance frequencies. Journal of Computational Dynamics 9, 3 (2022) 465–482. [Google Scholar]
- M. Campbell, J. Gilbert, A. Myers: The Science of Brass Instruments. Springer-Verlag, 2021. [Google Scholar]
- L. Velut, C. Vergez, J. Gilbert, M. Djahanbani: How well can linear stability analysis predict the behaviour of an outward-striking valve brass instrument model? Acta Acustica United with Acustica 103, 1 (2017) 132–148. [CrossRef] [Google Scholar]
- R. Mattéoli, J. Gilbert, C. Vergez, J.P. Dalmont, S. Maugeais, T. Soizic, F. Ablitzer: Minimal blowing pressure allowing periodic oscillations in a model of bass brass instruments. Acta Acustica 5 (2021) 57. [CrossRef] [EDP Sciences] [Google Scholar]
- J.S. Cullen, J. Gilbert, D.M. Campbell: Brass instruments: linear stability analysis and experiments with an artificial mouth. Acta Acustica United with Acustica 86, 4 (2000) 704–724. [Google Scholar]
- V. Fréour, L. Guillot, H. Masuda, S. Usa, E. Tominaga, Y. Tohgi, C. Vergez, B. Cochelin: Numerical continuation of a physical model of brass instruments: application to trumpet comparisons. The Journal of the Acoustical Society of America 148, 2 (2020) 748–758. [CrossRef] [PubMed] [Google Scholar]
- S. Maugeais, J. Gilbert: Brass players mask parameters obtained by inverse method. Acta Acustica 7 (2023) 28. [Google Scholar]
- B. Krauskopf, Hinke M. Osinga, J. Galán-Vioque, eds. Numerical Continuation Methods for Dynamical Systems: Path Following and Boundary Value Problems. Understanding Complex Systems. Springer Netherlands, Dordrecht, 2007. [Google Scholar]
- A. Basudhar, S. Missoum, A. Harrison Sanchez: Limit state function identification using Support Vector Machines for discontinuous responses and disjoint failure domain. Probabilistic Engineering Mechanics 12 (2008) 1–11. [Google Scholar]
- A. Basudhar and S. Missoum: Adaptive explicit decision functions for probabilistic design and optimization using support vector machines. Computers and Structures 86 (2008) 1904–1917. [Google Scholar]
- A. Basudhar and S. Missoum: A sampling based approach for probabilistic design with random fields. Computer Methods in Applied Mechanics and Engineering 198 (2009) 3647–3655. [Google Scholar]
- A. Basudhar and S. Missoum: An improved adaptive sampling scheme for the construction of explicit boundaries. Structural and Multidisciplinary Optimization 42 (2010) 517–529. [Google Scholar]
- A. Basudhar, C. Dribusch, S. Lacaze, S. Missoum: Constrained efficient global optimization with support vector machines. Structural and Multidisciplinary Optimization 46 (2012) 201–221. [Google Scholar]
- S. Lacaze and S. Missoum: A generalized “max-min” sample for surrogate update. Structural and Multidisciplinary Optimization 49, 4 (2014) 683–687. [Google Scholar]
- S. Missoum, C. Vergez, J.B. Doc: Explicit mapping of acoustic regimes for wind instruments. Journal of Sound and Vibration 333, 20 (2014) 5018–5029. [Google Scholar]
- J.-B. Doc, C. Vergez, S. Missoum: A minimal model of a single-reed instrument producing quasi-periodic sounds. Acta Acustica United with Acustica 100, 3 (2014) 543–554. [Google Scholar]
- T. Colinot, N. Szwarcberg, C. Vergez, S. Missoum: Cartography of a multistable system using support vector machines, applied to a clarinet model. Nonlinear Dynamics 113, 11 (2025) 13031–13042. [Google Scholar]
- V.N. Vapnik: Pattern recognition using generalized portrait method. Automation and Remote Control 24 (1963) 774–780. [Google Scholar]
- B.E. Boser, I.M. Guyon, V.N. Vapnik: A training algorithm for optimal margin classifiers, in: Proceedings of the Fifth Annual Workshop on Computational Learning Theory. COLT’92. Association for Computing Machinery, Pittsburgh, Pennsylvania, USA, 1992, pp. 144–152. [Google Scholar]
- V.N. Vapnik: The Nature of Statistical Learning Theory. Springer-Verlag New York, Inc., 1995. [Google Scholar]
- N. Cristianini, J. Shawe-Taylor: An Introduction to Support Vector Machines and Other Kernel-based Learning Methods. Cambridge University Press, 2000. [Google Scholar]
- F. Pedregosa, G. Varoquaux, A. Gramfort, V. Michel, B. Thirion, O. Grisel, M. Blondel, P. Prettenhofer, R. Weiss, V. Dubourg, J. Vanderplas, A. Passos, D. Cournapeau, M. Brucher, M. Perrot, E. Duchesnay: Scikit-learn: machine learning in python. Journal of Machine Learning Research 12 (2011) 2825–2830. [Google Scholar]
- D.J. Ewins: Modal Testing: Theory, Practice and Application, 2nd edn. Wiley, 2009. [Google Scholar]
- A. Chaigne, J. Kergomard: Acoustics of Musical Instruments. Modern Acoustics and Signal Processing. Springer, New York, NY, 2016. [Google Scholar]
- F. Ablitzer: Peak-picking identification technique for modal expansion of input impedance of brass instruments. Acta Acustica 5 (2021) 53. [CrossRef] [EDP Sciences] [Google Scholar]
- A. de Cheveigné, H. Kawahara: YIN, a fundamental frequency estimator for speech and music. The Journal of the Acoustical Society of America 111, 4 (2002) 1917–1930. [CrossRef] [PubMed] [Google Scholar]
- J.S. Elliott: Non-linear regeneration mechanisms in wind instruments. Le Journal de Physique Colloques 40, C8 (1979) C8-341. [Google Scholar]
- E.J. Doedel: AUTO-07P, Continuation and Bifurcation Software for Ordinary Differential Equations. Ver. 0.9.3, https://github.com/auto-07p/auto-07p. [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.
