Chapter

Advances in Nonlinear Speech Processing

Volume 4885 of the series Lecture Notes in Computer Science pp 230-245

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

  • Anis Ben AichaAffiliated withUnité de recherche Techtra, Ecole Supérieure des Communications de Tunis, 2083 Cité El-Ghazala/Ariana
  • , Sofia Ben JebaraAffiliated withUnité de recherche Techtra, Ecole Supérieure des Communications de Tunis, 2083 Cité El-Ghazala/Ariana

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