Consistent Wiener filtering: designing generalized time-frequency masks respecting spectrogram consistency

Jonathan Le Roux 1 Emmanuel Vincent 2 Yuu Mizuno 3 Hirokazu Kameoka 1 Nobutaka Ono 3 Shigeki Sagayama 3
2 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Wiener filtering has been one of the most widely used methods for source separation for several decades, in particular in audio signal processing. To exploit the short-term stationarity of audio signals, it is very often applied on time-frequency representations, especially the short-time Fourier transform (STFT). However, classical Wiener filtering does not take into account the intrinsically redundant structure of STFT spectrograms, and its output is actually in general not the optimal solution. We show here that by ensuring that the output spectrograms are “consistent”, i.e., that they correspond to actual time-domain signals, we can obtain a more efficient filtering.
Type de document :
Communication dans un congrès
ASJ Spring Meeting, Mar 2010, Tokyo, Japan. 2010
Liste complète des métadonnées

Littérature citée [9 références]  Voir  Masquer  Télécharger

https://hal.inria.fr/inria-00544086
Contributeur : Emmanuel Vincent <>
Soumis le : mardi 7 décembre 2010 - 11:25:40
Dernière modification le : mercredi 16 mai 2018 - 11:23:03
Document(s) archivé(s) le : mardi 8 mars 2011 - 03:53:07

Fichier

leroux_ASJ10.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

  • HAL Id : inria-00544086, version 1

Citation

Jonathan Le Roux, Emmanuel Vincent, Yuu Mizuno, Hirokazu Kameoka, Nobutaka Ono, et al.. Consistent Wiener filtering: designing generalized time-frequency masks respecting spectrogram consistency. ASJ Spring Meeting, Mar 2010, Tokyo, Japan. 2010. 〈inria-00544086〉

Partager

Métriques

Consultations de la notice

364

Téléchargements de fichiers

190