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Multi angle Sound, music and wavelets in Marseille

Auteurs : Kronland-Martinet, Richard (Auteur de la Conférence)
CIRM (Editeur )

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    Résumé : In this conference, I start by presenting the first applications and developments of wavelet methods made in Marseille in 1985 in the framework of sounds and music. A description of the earliest wavelet transform implementation using the SYTER processor is given followed by a discussion related to the first signal analysis investigations. Sound examples of the initial sound transformations obtained by altering the wavelet representation are further presented. Then methods aiming at estimating sound synthesis parameters such as amplitude and frequency modulation laws are described. Finally, new challenges brought by these early works are presented, focusing on the relationship between low-level synthesis parameters and sound perception and cognition. An example of the use of the wavelet transforms to estimate sound invariants related to the evocation of the "object" and the "action" is presented.

    Keywords : sound and music - first wavelet applications - signal analysis - sound synthesis - fast wavelet algorithms - instantaneous frequency estimation - sound invariants

    Codes MSC :
    42C40 - Wavelets and other special systems
    65T60 - Wavelets (numerical methods)
    94A12 - Signal theory (characterization, reconstruction, filtering, etc.)
    00A65 - Mathematics and music
    97M10 - Modeling and interdisciplinarity
    97M80 - Arts, music, language, architecture

      Informations sur la Vidéo

      Réalisateur : Hennenfent, Guillaume
      Langue : Anglais
      Date de publication : 10/03/15
      Date de captation : 23/01/15
      Collection : Special events ; 30 Years of Wavelets
      Format : quicktime ; audio/x-aac
      Durée : 00:32:36
      Domaine : Mathematics in Science & Technology
      Audience : Chercheurs ; Doctorants , Post - Doctorants
      Download : http://videos.cirm-math.fr/2015-01-23_Kronland.mp4

    Informations sur la rencontre

    Nom du congrès : 30 years of wavelets / 30 ans des ondelettes
    Organisteurs Congrès : Feichtinger, Hans G. ; Torrésani, Bruno
    Dates : 23/01/15 - 24/01/15
    Année de la rencontre : 2015
    URL Congrès : http://feichtingertorresani.weebly.com/3...

    Citation Data

    DOI : 10.24350/CIRM.V.18710603
    Cite this video as: Kronland-Martinet, Richard (2015).Sound, music and wavelets in Marseille. CIRM . Audiovisual resource .doi:10.24350/CIRM.V.18710603
    URI : http://dx.doi.org/10.24350/CIRM.V.18710603


    Bibliographie

    1. [1] Aramaki, M., Besson, M., Kronland-Martinet, R., & Ystad, S. (2011). Controling the Perceived Material in an Impact Sound Synthesizer. IEEE transactions on Audio, Speech and Language Processing, 19(2), 301-314 - http://dx.doi.org/10.1109/tasl.2010.2047755

    2. [2] Conan, S., Derrien, O., Aramaki, M., Ystad, S. & Kronland-Martinet, R. (2014). A synthesis model with intuitive control capabilities for rolling sounds. IEEE Transactions on Audio, Speech, and Language Processing, 22(8), 1260-1273 - http://dx.doi.org/10.1109/taslp.2014.2327297

    3. [3] Conan, S., Thoret, E., Aramaki, M., Derrien, O., Gondre, C., Kronland-Martinet, R., & Ystad, S. (2014). An Intuitive Synthesizer of Continuous Interaction Sounds: Rubbing, Scratching and Rolling. Computer Music Journal, 38(4), 24-37 - http://dx.doi.org/10.1162/comj_a_00266

    4. [4] Delprat, N., Escudié, B., Guillemain, P., Kronland-Martinet, R., Tchamitchian, P., & Torrésani, B. (1992). Asymptotic wavelet and Gabor analysis: extraction of instantaneous frequencies. IEEE Transactions on Information Theory, 38(2), 644-664 - http://dx.doi.org/10.1109/18.119728

    5. [5] Grossmann, A., Kronland-Martinet, R., & Morlet, J. (1989). Reading and understanding continuous wavelet transforms. In J.M Combes, A. Grossmann, & P. Tchamitchian (Eds.), Wavelets: time-frequency methods and phase space (pp. 2-20). Berlin: Springer - http://dx.doi.org/10.1007/978-3-642-97177-8_1

    6. [6] Holschneider, M., Kronland-Martinet, R., Morlet, J., Tchamitchian, P. (1989). A real-time algorithm for signal analysis with the help of the wavelet transform. In J.M Combes, A. Grossmann, & P. Tchamitchian (Eds.), Wavelets: time-frequency methods and phase space (pp. 286-297). Berlin: Springer - http://dx.doi.org/10.1007/978-3-642-97177-8_28

    7. [7] Kronland-Martinet, R., Morlet, J., & Grossmann, A. (1987). Analysis of sound patterns through wavelet transforms. International Journal of Pattern Recognition and Artificial Intelligence, 1(2), 273-302 - http://dx.doi.org/10.1142/s0218001487000205

    8. [8] Kronland-Martinet, R. (1988). The use of the wavelet transform for the analysis, synthesis and processing of speech and music sounds. Computer Music Journal, Vol. 12(4), 11-20 -

    9. [9] Kronland-Martinet, R., Ystad, S., & Aramaki, M. (2012). High level control of sound synthesis for sonification processes. AI & Society ­ Journal of Knowledge, Culture and Communication, 27(2), 245-255 - http://dx.doi.org/10.1007/s00146-011-0340-8

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