Consistent Wiener filtering for audio source separation - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Journal Articles IEEE Signal Processing Letters Year : 2013

Consistent Wiener filtering for audio source separation

Abstract

Wiener filtering is one of the most ubiquitous tools in signal processing, in particular for signal denoising and source separation. In the context of audio, it is typically applied in the time-frequency domain by means of the short-time Fourier transform (STFT). Such processing does generally not take into account the relationship between STFT coefficients in different time-frequency bins due to the redundancy of the STFT, which we refer to as consistency. We propose to enforce this relationship in the design of the Wiener filter, either as a hard constraint or as a soft penalty. We derive two conjugate gradient algorithms for the computation of the filter coefficients and show improved audio source separation performance compared to the classical Wiener filter both in oracle and in blind conditions.
Fichier principal
Vignette du fichier
leroux_SPL12.pdf (855.61 Ko) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-00742687 , version 1 (16-10-2012)

Identifiers

Cite

Jonathan Le Roux, Emmanuel Vincent. Consistent Wiener filtering for audio source separation. IEEE Signal Processing Letters, 2013, 20 (3), pp.217-220. ⟨10.1109/LSP.2012.2225617⟩. ⟨hal-00742687⟩
988 View
1042 Download

Altmetric

Share

Gmail Facebook X LinkedIn More