Blind Separation of Underdetermined Convolutive Mixtures Using Their Time–Frequency Representation - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue IEEE Transactions on Audio, Speech and Language Processing Année : 2007

Blind Separation of Underdetermined Convolutive Mixtures Using Their Time–Frequency Representation

Résumé

This paper considers the blind separation of nonsta-tionary sources in the underdetermined convolutive mixture case. We introduce, two methods based on the sparsity assumption of the sources in the time-frequency (TF) domain. The first one assumes that the sources are disjoint in the TF domain; i.e. there is at most one source signal present at a given point in the TF domain. In the second method, we relax this assumption by allowing the sources to be TF-nondisjoint to a certain extent. In particular, the number of sources present (active) at a TF point should be strictly less than the number of sensors. In that case, the separation can be achieved thanks to subspace projection which allows us to identify the active sources and to estimate their corresponding time-frequency distribution (TFD) values. Another contribution of this paper is a new estimation procedure for the mixing channel in the underdetermined case. Finally, numerical performance evaluations and comparisons of the proposed methods are provided highlighting their effectiveness.
Fichier principal
Vignette du fichier
TrASP_TF_CUBSS_C2_vf.pdf (2.04 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01772827 , version 1 (20-04-2018)

Identifiants

Citer

Abdeldjalil Aissa El Bey, Karim Abed-Meraim, Yves Grenier. Blind Separation of Underdetermined Convolutive Mixtures Using Their Time–Frequency Representation. IEEE Transactions on Audio, Speech and Language Processing, 2007, 15 (5), pp.1540 - 1550. ⟨10.1109/TASL.2007.898455⟩. ⟨hal-01772827⟩
13 Consultations
98 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More