Quantitative Perceptual Separation of Two Kinds of Degradation in Speech Denoising Applications

  • Anis Ben Aicha
  • Sofia Ben Jebara
Conference paper

DOI: 10.1007/978-3-540-77347-4_20

Part of the Lecture Notes in Computer Science book series (LNCS, volume 4885)
Cite this paper as:
Ben Aicha A., Ben Jebara S. (2007) Quantitative Perceptual Separation of Two Kinds of Degradation in Speech Denoising Applications. In: Chetouani M., Hussain A., Gas B., Milgram M., Zarader JL. (eds) Advances in Nonlinear Speech Processing. NOLISP 2007. Lecture Notes in Computer Science, vol 4885. Springer, Berlin, Heidelberg

Abstract

Classical objective criteria evaluate speech quality using one quantity which embed all possible kinds of degradation. For speech denoising applications, there is a great need to determine with accuracy the kind of the degradation (residual background noise, speech distortion or both). In this work, we propose two perceptual bounds UBPE and LBPE defining regions where original and denoised signals are perceptually equivalent or different. Next, two quantitative criteria PSANR and PSADR are developed to quantify separately the two kinds of degradation. Some simulation results for speech denoising using different approaches show the usefulness of proposed criteria.

Keywords

Objective criteria speech denoising UBPE LBPE PSANR PSADR 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Anis Ben Aicha
    • 1
  • Sofia Ben Jebara
    • 1
  1. 1.Unité de recherche Techtra, Ecole Supérieure des Communications de Tunis, 2083 Cité El-Ghazala/ArianaTunisie

Personalised recommendations