Ircam-Centre Pompidou

Recherche

  • Recherche simple
  • Recherche avancée

    Panier électronique

    Votre panier ne contient aucune notice

    Connexion à la base

  • Identification
    (Identifiez-vous pour accéder aux fonctions de mise à jour. Utilisez votre login-password de courrier électronique)

    Entrepôt OAI-PMH

  • Soumettre une requête

    Consulter la notice détailléeConsulter la notice détaillée
    Version complète en ligneVersion complète en ligne
    Version complète en ligne accessible uniquement depuis l'IrcamVersion complète en ligne accessible uniquement depuis l'Ircam
    Ajouter la notice au panierAjouter la notice au panier
    Retirer la notice du panierRetirer la notice du panier

  • English version
    (full translation not yet available)
  • Liste complète des articles

  • Consultation des notices


    Vue détaillée Vue Refer Vue Labintel Vue BibTeX  

    %0 Conference Proceedings
    %A Liao, Wei-Hsiang
    %A Roebel, Axel
    %A Su, Wen-Yu
    %T On the Modeling of Sound Textures Based on the STFT Representation
    %D 2013
    %B 16th Int. Conference on Digital Audio Effects (DAFx-13)
    %C Maynooth
    %F Liao13a
    %K sound texture
    %K synthesis
    %K statistics
    %X 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.
    %1 6
    %2 1
    %U http://architexte.ircam.fr/textes/Liao13a/

    © Ircam - Centre Pompidou 2005.