Underdetermined instantaneous audio source separation via local Gaussian modeling - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2009

Underdetermined instantaneous audio source separation via local Gaussian modeling

Résumé

Underdetermined source separation is often carried out by modeling time-frequency source coefficients via a fixed sparse prior. This approach fails when the number of active sources in one time-frequency bin is larger than the number of channels or when active sources lie on both sides of an inactive source. In this article, we partially address these issues by modeling time-frequency source coefficients via Gaussian priors with free variances. We study the resulting maximum likelihood criterion and derive a fast non-iterative optimization algorithm that finds the global minimum. We show that this algorithm outperforms state-of-the- art approaches over stereo instantaneous speech mixtures.
Fichier principal
Vignette du fichier
2009_ICA_VincentArberetGribonval_LocalGaussianModeling.pdf (137.98 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00482223 , version 1 (10-05-2010)

Identifiants

Citer

Emmanuel Vincent, Simon Arberet, Rémi Gribonval. Underdetermined instantaneous audio source separation via local Gaussian modeling. 8th Int. Conf. on Independent Component Analysis and Signal Separation (ICA), Mar 2009, Paraty, Brazil. pp 775-782, ⟨10.1007/978-3-642-00599-2_97⟩. ⟨hal-00482223⟩
387 Consultations
375 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More