Interactive Sound Texture Synthesis through Semi-Automatic User Annotations
Schwarz, Diemo and Caramiaux, Baptiste. 2014. Interactive Sound Texture Synthesis through Semi-Automatic User Annotations. In: M. Aramaki; O. Derrien; R. Kronland-Martinet and S. Ystad, eds. Sound, Music, and Motion. 10th International Symposium, CMMR 2013. Lecture Notes in Computer Science, Vol. 8905. Springer, pp. 372-392. [Book Section]
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Abstract or Description
We present a way to make environmental recordings controllable again by the use of continuous annotations of the high-level semantic parameter one wishes to control, e.g. wind strength or crowd excitation level. A partial annotation can be propagated to cover the entire recording via cross-modal analysis between gesture and sound by canonical time warping (CTW). The annotations serve as a descriptor for lookup in corpus-based concatenative synthesis in order to invert the sound/annotation relationship. The workflow has been evaluated by a preliminary subject test and results on canonical correlation analysis (CCA) show high consistency between annotations and a small set of audio descriptors being well correlated with them. An experiment of the propagation of annotations shows the superior performance of CTW over CCA with as little as 20 s of annotated material.
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Book Section |
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Keywords: |
sound textures, audio descriptors, corpus-based synthesis, canonical correlation analysis, canonical time warping |
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Item ID: |
11201 |
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Date Deposited: |
23 Jan 2015 12:17 |
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Last Modified: |
29 Apr 2020 16:05 |
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