A Multichannel Audio Denoising Formulation Based on Spectral Sparsity


Bayram I.

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING, vol.23, no.12, pp.2272-2285, 2015 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 23 Issue: 12
  • Publication Date: 2015
  • Doi Number: 10.1109/taslp.2015.2479042
  • Title of Journal : IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING
  • Page Numbers: pp.2272-2285

Abstract

We consider the estimation of an audio source from multiple noisy observations, where the correlation between noise in the different observations is low. We propose a two-stage method for this estimation problem. The method does not require any information about noise and assumes that the signal of interest has a sparse time-frequency representation. The first stage uses this assumption to obtain the best linear combination of the observations. The second stage estimates the amount of remaining noise and applies a post-filter to further enhance the reconstruction. We discuss the optimality of this method under a specific model and demonstrate its usefulness on synthetic and real data.