Ircam-Centre Pompidou


  • 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 Journal Article
    %A Misdariis, Nicolas
    %A Minard, Antoine
    %A Susini, Patrick
    %A Lemaitre, Guillaume
    %A McAdams, Stephen
    %A Parizet, Etienne
    %T Environmental Sound Perception: Metadescription and Modeling Based on Independent Primary Studies
    %D 2010
    %B EURASIP Journal on Audio, Speech, and Music Processing
    %F Misdariis10b
    %K environmental sounds
    %K description
    %K classification
    %K modeling
    %X The aim of the study is to transpose and extend to a set of environmental sounds the notion of sound descriptors usually used for musical sounds. Four separate primary studies dealing with interior car sounds, air-conditioning units, car horns, and closing car doors are considered collectively. The corpus formed by these initial stimuli is submitted to new experimental studies and analyses, both for revealing metacategories and for defining more precisely the limits of each of the resulting categories. In a second step, the new structure is modeled: common and specific dimensions within each category are derived from the initial results and new investigations of audio features are performed. Furthermore, an automatic classifier based on two audio descriptors and a multinomial logistic regression procedure is implemented and validated with the corpus.
    %1 1
    %2 3

    © Ircam - Centre Pompidou 2005.