Harmonic/Percussive Separation Using Kernel Additive Modelling

Abstract : Recently, Kernel Additive Modelling was proposed as a new framework for performing sound source separation. Kernel Additive Modelling assumes that a source at some location can be estimated using its values at nearby locations where nearness is defined through a source-specific proximity kernel. Different proximity kernels can be used for different sources, which are then separated using an iterative kernel backfitting algorithm. These kernels can efficiently account for features such as continuity, stability in time or frequency and self-similarity. Here, we show that Kernel Additive Modelling can be used to generalise, extend and improve on a widely-used harmonic/percussive separation algorithm which attempts to separate pitched from percussive instruments.
Type de document :
Communication dans un congrès
IET Irish Signals & Systems Conference 2014, Jun 2014, Limerick, Ireland. 2014
Liste complète des métadonnées

Littérature citée [16 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/hal-01000001
Contributeur : Antoine Liutkus <>
Soumis le : mardi 17 février 2015 - 13:47:30
Dernière modification le : mercredi 21 mars 2018 - 18:57:44
Document(s) archivé(s) le : jeudi 28 mai 2015 - 15:51:22

Fichier

ISSC14v2.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : hal-01000001, version 2

Collections

Citation

Derry Fitzgerald, Antoine Liutkus, Zafar Rafii, Bryan Pardo, Laurent Daudet. Harmonic/Percussive Separation Using Kernel Additive Modelling. IET Irish Signals & Systems Conference 2014, Jun 2014, Limerick, Ireland. 2014. 〈hal-01000001v2〉

Partager

Métriques

Consultations de la notice

594

Téléchargements de fichiers

339