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Audiovisual Mathematics Library

Audiovisual Mathematics Library

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Sound, music and wavelets in Marseille

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Authors : Kronland-Martinet, Richard (Author of the conference)
CIRM (Publisher )

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Abstract : 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

MSC Codes :
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
    Information on the Video

    Film maker : Hennenfent, Guillaume
    Language : English
    Available date : 10/03/15
    Conference Date : 23/01/15
    Series : Special events ; 30 Years of Wavelets
    arXiv category : Computer Science ; Sound
    Mathematical Area(s) : Mathematics in Science & Technology
    Format : MP4 (.mp4) - HD
    Video Time : 00:32:36
    Targeted Audience : Researchers
    Download : https://videos.cirm-math.fr/2015-01-23_Kronland.mp4
Information on the Event

Event Title : 30 years of wavelets / 30 ans des ondelettes
Event Organizers : Feichtinger, Hans G. ; Torrésani, Bruno
Dates : 23/01/15 - 24/01/15
Event Year : 2015
Event URL : https://www.chairejeanmorlet.com/1523.html

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

Bibliography

  • [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] 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] 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] 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] 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] 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] 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] 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] 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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