On the modeling of sound textures based on the STFT representation

Wei Hsiang Liao, Axel Roebel, Alvin W.Y. Su

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationDAFx 2013 - 16th International Conference on Digital Audio Effects
PublisherNational University of Ireland
ISBN (Electronic)0956326773, 9780956326775
Publication statusPublished - 2013 Jan 1
Event16th International Conference on Digital Audio Effects, DAFx 2013 - Maynooth, Ireland
Duration: 2013 Sep 22013 Sep 5

Publication series

NameDAFx 2013 - 16th International Conference on Digital Audio Effects

Other

Other16th International Conference on Digital Audio Effects, DAFx 2013
CountryIreland
CityMaynooth
Period13-09-0213-09-05

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All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Signal Processing
  • Acoustics and Ultrasonics
  • Music

Cite this

Liao, W. H., Roebel, A., & Su, A. W. Y. (2013). On the modeling of sound textures based on the STFT representation. In DAFx 2013 - 16th International Conference on Digital Audio Effects (DAFx 2013 - 16th International Conference on Digital Audio Effects). National University of Ireland.