Recherche
Panier électronique
Votre panier ne contient aucune notice
Connexion à la base
(Identifiez-vous pour accéder aux fonctions de mise à jour. Utilisez votre login-password de courrier électronique)
Entrepôt OAI-PMH
 | Consulter la notice détaillée |
 | Version complète en ligne |
 | Version complète en ligne accessible uniquement depuis l'Ircam |
 | Ajouter la notice au panier |
 | Retirer la notice du panier |
(full translation not yet available)
Consultation des notices
| Vue détaillée | Vue Refer | Vue Labintel | Vue BibTeX |
|
%0 Book Section %A Liuni, Marco %A Roebel, Axel %A Romito, Marco %A Rodet, Xavier %T An Entropy Based Method for Local Time-Adaptation of the Spectrogram %D 2011 %E S. Ystad M. Aramaki R. Kronland-Martinet K. Jensen %B Lecture Notes in Computer Science : Computer Music Modeling and Retrieval. Exploring Music Contents %C Berlin %I Springer Verlag %P 60-75 %F Liuni11a %K adaptive spectrogram %K sound representation %K sound analysis %K sound synthesis %K Rényi entropy %K sparsity measures %K frame theory. %X We propose a method for automatic local time-adaptation of the spectrogram of audio signals: it is based on the decomposition of a signal within a Gabor multi-frame through the STFT operator. The sparsity of the analysis in every individual frame of the multi-frame is evaluated through the Rényi entropy measures: the best local resolution is determined minimizing the entropy values. The overall spectrogram of the signal we obtain thus provides local optimal resolution adaptively evolving over time. We give examples of the performance of our algorithm with an instrumental sound and a synthetic one, showing the improvement in spectrogram displaying obtained with an automatic adaptation of the resolution. The analysis operator is invertible, thus leading to a perfect reconstruction of the original signal through the analysis coefficients. %1 4 %2 3 %U http://articles.ircam.fr/textes/Liuni11a/ |