TY - GEN
T1 - On the modeling of sound textures based on the STFT representation
AU - Liao, Wei Hsiang
AU - Roebel, Axel
AU - Su, Alvin W.Y.
PY - 2013/1/1
Y1 - 2013/1/1
N2 - 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.
AB - 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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M3 - Conference contribution
AN - SCOPUS:85003540932
T3 - DAFx 2013 - 16th International Conference on Digital Audio Effects
BT - DAFx 2013 - 16th International Conference on Digital Audio Effects
PB - National University of Ireland
T2 - 16th International Conference on Digital Audio Effects, DAFx 2013
Y2 - 2 September 2013 through 5 September 2013
ER -