Towards User-friendly Audio Creation
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Transcript of Towards User-friendly Audio Creation
• Designing a usable interface
• Synthesizing new sound events based on the rhythmic pattern and the timbre evolution of a recording model
Output synthesis depends on the selected sound material
Towards User-friendly Audio Creation
MotivationHow to easily extendone’s sound design palette?
• By collecting and sorting petabytes of sound samples??
• By experimenting with sound synthesis algorithms in too many different platforms, such as Matlab, PureData, Max/MSP, Minim (Processing), Csound, SuperCollider...??
Goals• Creating sound events
• Offering a usable tool for manipulation, navigation and sound composition
Research Ideas• Composing audio grains in time
according to the rhythmic pattern and the timbre evolution of a recording model
• Managing analysis of sound material and synthesis of new sound events within the MediaCycle framework [1]
Method Future WorkExtendingour synthesis techniquewith a physical approach
• Modal analysis of CAD models
• Modal synthesis with user-defined force and location
• Interface navigation based on semantic (physical properties) and signal-based features
Conclusion• A method for automatic extraction
and classification of meaningful audio grains.
• A technique for automatic synthesis ofcoherent soundtracks
• A usable interface for database manipulation and sound composition
• Online video!: http://www.dailymotion.com/video/xe8ao0_numediart-10-2-audiogarden_tech
• Stay tuned on http://www.numediart.organd http://audiogarden.org
References[1] Stéphane Dupont, Christian Frisson, Xavier Siebert, and Damien
Tardieu. Browsing sound and music libraries by similarity. In 128th AES Convention, 2010.
[2] Cécile Picard, Nicolas Tsingos, and François Faure. Retargetting example sounds to interactive physics-driven animations. In AES 35th International Conference on Audio for Games, 2009.
C. Picard-Limpens1, C. Frisson2, D. Tardieu3, J. Vanderdonckt2, T. Dutoit3
numediart Research Program in Digital Art Technologies (2007-2012)1numediart Research Program, 2Université Catholique de Louvain, Belgium, 3TCTS, Université de Mons, Belgium
Copyright (c) 2010 C. Picard-limpens, C. Frisson, D. Tardieu, J. Vanderdonckt, T. DutoitThis work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/2.5/ or send a letter to Creative Commons, 559 Nathan Abbott Way, Stanford, California 94305, USA.
• Automatic extraction of audio grainsbased on onset detection
• Sound material for synthesis= a recording model+ audio grains
• Synthesis process based on:similarity measurements+ onset detection
Implementation & Results
Browser controls
Visual display
Recording model
Audio grains
credits to http://www.lostonwallace.com