Open Access
Issue
Acta Acust.
Volume 5, 2021
Article Number 47
Number of page(s) 15
Section Musical Acoustics
DOI https://doi.org/10.1051/aacus/2021038
Published online 24 November 2021
  1. D.B. Sharp: Acoustic pulse reflectometry for the measurement of musical wind instruments. PhD Thesis. University of Edinburgh, 1996. [Google Scholar]
  2. N. Amir, U. Shimony, G. Rosenhouse: A discrete model for tubular acoustic systems with varying cross section – The direct and inverse problems. Part 1: Theory. Acta Acustica united with Acustica 81 (1995) 450–462. [Google Scholar]
  3. A. Li, D.B. Sharp: The problem of offset in measurements made using acoustic pulse reflectometry. Acta Acustica United with Acustica 91 (2005) 789–796. [Google Scholar]
  4. D.B. Sharp, H.A.K. Wright, W. Ring: An acoustical investigation into the effect of the crook profile on the sound produced by the Bassoon. Acta Acustica united with Acustica 89 (2003) 137–144. [Google Scholar]
  5. M. Curtit, F. Yahaya, J.P. Dalmont, J. Gilbert, O. Cottet: Bore reconstruction based on input impedance measurement: application to the bassoon crook. Vienna talks, 2010, 5. [Google Scholar]
  6. V. Chilekwa: Detecting, locating and sizing leaks in gas-filled pipes using acoustical measurements. PhD Thesis. The Open University, Milton Keynes UK, 2006. [Google Scholar]
  7. A. Mamou-Mani, D. Brian Sharp, T. Meurisse, W. Ring: Investigating the consistency of woodwind instrument manufacturing by comparing five nominally identical oboes. The Journal of the Acoustical Society of America 131 (2012) 728–736. [CrossRef] [PubMed] [Google Scholar]
  8. W. Kausel: Optimization of brasswind instruments and its application in bore reconstruction. Journal of New Music Research 30 (2001) 69–82. [CrossRef] [Google Scholar]
  9. S. Schmutzhard, V. Chatziioannou, A. Hofmann: Parameter optimisation of a viscothermal time-domain model for wind instruments, in International Symposium on Musical Acoustics, Montreal, 2017. [Google Scholar]
  10. D. Noreland: Gradient based optimisation of brass instruments, in Stockholm Music Acoustics Conference, Stockholm, Sweden, 2003. [Google Scholar]
  11. A.C.P. Braden, M.J. Newton, D.M. Campbell: Trombone bore optimization based on input impedance targets. The Journal of the Acoustical Society of America 125 (2009) 2404–2412. [CrossRef] [PubMed] [Google Scholar]
  12. T. Colinot, P. Guillemain, J.-B. Doc, C. Vergez, M. Jousserand: Numerical optimization of a bicylindrical resonator impedance: differences and common features between a saxophone resonator and a bicylindrical resonator. Acta Acustica united with Acustica 105 (2019) 1217–1227. [CrossRef] [Google Scholar]
  13. V. Debut, J. Kergomard, F. Laloë: Analysis and optimisation of the tuning of the twelfths for a clarinet resonator. Applied Acoustics 66 (2005) 365–409. [CrossRef] [Google Scholar]
  14. A. Lefebvre: Computational acoustic methods for the design of woodwind instruments. PhD thesis. McGill University, 2010. [Google Scholar]
  15. D. Noreland, J. Kergomard, F. Laloë, C. Vergez, P. Guillemain, A. Guilloteau: The logical clarinet: numerical optimization of the geometry of woodwind instruments. Acta Acustica united with Acustica 99 (2013) 615–628. [CrossRef] [Google Scholar]
  16. A. Guilloteau, P. Guillemain, J. Kergomard, M. Jousserand: On the second register’s playability of the clarinet: towards a multicriteria approach, in International Symposium on Musical Acoustics, Montreal, 2017, 1. [Google Scholar]
  17. A. Ernoult, C. Vergez, S. Missoum, P. Guillemain, M. Jousserand: Woodwind instrument design optimization based on impedance characteristics with geometric constraints. The Journal of the Acoustical Society of America 148 (2020) 2864–2877. [CrossRef] [PubMed] [Google Scholar]
  18. R. Tournemenne, J.-F. Petiot, B. Talgorn, J. Gilbert, M. Kokkolaras: Sound simulation-based design optimization of brass wind instruments. The Journal of the Acoustical Society of America 145 (2019) 3795–3804. [CrossRef] [PubMed] [Google Scholar]
  19. J. Virieux, S. Operto: An overview of full-waveform inversion in exploration geophysics. Geophysics 74 (2009) WCC1–WCC26. [CrossRef] [Google Scholar]
  20. Open Wind INstrument Design. https://openwind.inria.fr, visited on Sept. 2021. [Google Scholar]
  21. R. Tournemenne, J. Chabassier: A comparison of a one-dimensional finite element method and the transfer matrix method for the computation of wind music instrument impedance. Acta Acustica united with Acustica 5 (2019) 838. [CrossRef] [Google Scholar]
  22. A. Chaigne, J. Kergomard: Acoustics of Musical Instruments, in Modern Acoustics and Signal Processing. Springer, New York, 2016. [CrossRef] [Google Scholar]
  23. V. Dubos, J. Kergomard, A. Khettabi, J.-P. Dalmont, D.H. Keefe, C.J. Nederveen: Theory of sound propagation in a duct with a branched tube using modal decomposition. Acta Acustica united with Acustica 85, 2 (1999) 153–169. [Google Scholar]
  24. A. Lefebvre, G.P. Scavone: Characterization of woodwind instrument toneholes with the finite element method. The Journal of the Acoustical Society of America 131, 4 (2012) 3153–3163. [CrossRef] [PubMed] [Google Scholar]
  25. C.J. Nederveen, J.K.M. Jansen, R.R. Van Hassel: Corrections for woodwind tone-hole calculations. Acta Acustica united with Acustica 84, 5 (1998) 957–966. [Google Scholar]
  26. A. Semin: Propagation d’ondes dans des jonctions de fentes minces. PhD thesis. Université de Paris - Sud, 2010. [Google Scholar]
  27. S. Laurens, S. Tordeux, A. Bendali, M. Fares, P. Kotiuga: Lower and upper bounds for the Rayleigh conductivity of a perforated plate. ESAIM: Mathematical Modelling and Numerical Analysis 47 (2013) 1691–1712. [CrossRef] [EDP Sciences] [Google Scholar]
  28. F. Silva, P. Guillemain, J. Kergomard, B. Mallaroni, A.N. Norris: Approximation formulae for the acoustic radiation impedance of a cylindrical pipe. Journal of Sound and Vibration 322 (2009) 255–263. [CrossRef] [Google Scholar]
  29. V. Gibiat, F. Laloë: Acoustical impedance measurements by the two-microphone-three-calibration (TMTC) method. The Journal of the Acoustical Society of America 88 (1990) 2533–2545. [CrossRef] [Google Scholar]
  30. P. Dickens, J. Smith, J. Wolfe: Improved precision in measurements of acoustic impedance spectra using resonance-free calibration loads and controlled error distribution. The Journal of the Acoustical Society of America 121 (2007) 1471–1481. [CrossRef] [PubMed] [Google Scholar]
  31. J.C. Le Roux, M. Pachebat, J.-P. Dalmont: A new impedance sensor for industrial applications, in Acoustics 2012 S.F. d’Acoustique, Editor. Nantes, France, 2012. [Google Scholar]
  32. H. Barucq, G. Chavent, F. Faucher: A priori estimates of attraction basins for nonlinear least squares, with application to Helmholtz seismic inverse problem. Inverse Problems 35 (2019) 115004. [CrossRef] [Google Scholar]
  33. H. Barucq, R. Djellouli, E. Estecahandy: Fréchet differentiability of the elasto-acoustic scattered field with respect to Lipschitz domains’. Mathematical Methods in the Applied Sciences 40, 2 (2017) 404–414. [CrossRef] [Google Scholar]
  34. R.-E. Plessix: A review of the adjoint-state method for computing the gradient of a functional with geophysical applications. Geophysical Journal International 167 (2006) 495–503. [CrossRef] [Google Scholar]
  35. J. Nocedal, S.J. Wright: Numerical optimization. Springer Series in Operations Research, 2nd ed. New York, Springer, 2006. [Google Scholar]
  36. J.-P. Dalmont, C. Nederveen, N. Joly: Radiation impedance of tubes with different flanges: numerical and experimental investigations. Journal of Sound and Vibration 244 (2001) 505–534. [CrossRef] [Google Scholar]
  37. D. Brandwood: A complex gradient operator and its application in adaptive array theory. IEE Proceedings H – Microwaves, Optics and Antennas 130 (1983) 11–16. [CrossRef] [Google Scholar]

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