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Communication Dans Un Congrès Année : 2013

On the Modeling of Sound Textures Based on the STFT Representation

Alvin W.Y. Su
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Résumé

Sound textures are often noisy and chaotic. The processing of these sounds must be based on the statistics of its corresponding time-frequency representation. In order to transform sound tex- tures with existing mechanisms, a statistical model based on the STFT representation is favored. In this article, the relation be- tween statistics of a sound texture and its time-frequency repre- sentation is explored. We proposed an algorithm to extract and modify the statistical properties of a sound texture based on its STFT representation. It allows us to extract the statistical model of a sound texture and resynthesise the sound texture after modi- fications have been made. It could also be used to generate new samples of the sound texture from a given sample. The results of the experiment show that the algorithm is capable of generating high quality sounds from an extracted model. This result could serve as a basis for transformations like morphing or high-level control of sound textures.
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Dates et versions

hal-01011881 , version 1 (24-06-2014)

Identifiants

  • HAL Id : hal-01011881 , version 1

Citer

Wei-Hsiang Liao, Axel Roebel, Alvin W.Y. Su. On the Modeling of Sound Textures Based on the STFT Representation. Proc. of the 16th Int. Conference on Digital Audio Effects (DAFx-13), Sep 2013, Ireland. pp.33. ⟨hal-01011881⟩
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