Synthesizing sound textures through wavelet tree learning

Shlomo Dubnov; Ziv Bar-Joseph; Ran El-Yaniv; Dani Lischinski; Michael Werman

doi:10.1109/MCG.2002.1016697

Synthesizing sound textures through wavelet tree learning

Shlomo Dubnov^*, Ziv Bar-Joseph, Ran El-Yaniv, Dani Lischinski, Michael Werman

^*Corresponding author for this work

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Contribution to journal › Article › peer-review

63 Scopus citations

Abstract

Natural sounds are complex phenomena which contain a mixture of events localized in time and frequency. As such, a statistical learning algorithm for synthesizing random instances of sound textures from an existing natural sound example is presented. It describes sound textures as a set of repeating structural elements subject to some randomness in their time appearance and relative ordering but preserving certain essential temporal coherence and across-scale localization.

Original language	English
Pages (from-to)	38-48
Number of pages	11
Journal	IEEE Computer Graphics and Applications
Volume	22
Issue number	4
DOIs	https://doi.org/10.1109/MCG.2002.1016697
State	Published - Jul 2002

Bibliographical note

Funding Information:
We presented a preliminary version of this article at the International Computer Music Conference (ICMC 99). This research was supported in part by the Israel Science Foundation founded by the Israel Academy of Sciences and Humanities. Ran El-Yaniv is a Marcella S. Geltman Memorial Academic Lecturer.

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10.1109/MCG.2002.1016697

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AU - Lischinski, Dani

AU - Werman, Michael

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AB - Natural sounds are complex phenomena which contain a mixture of events localized in time and frequency. As such, a statistical learning algorithm for synthesizing random instances of sound textures from an existing natural sound example is presented. It describes sound textures as a set of repeating structural elements subject to some randomness in their time appearance and relative ordering but preserving certain essential temporal coherence and across-scale localization.

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Synthesizing sound textures through wavelet tree learning

Abstract

Bibliographical note

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