Open Access

Fourier-Lapped Multilayer Perceptron Method for Speech Quality Assessment

  • Moisés Vidal Ribeiro1Email author,
  • Jayme Garcia Arnal Barbedo1,
  • João Marcos Travassos Romano1 and
  • Amauri Lopes1
EURASIP Journal on Advances in Signal Processing20052005:543701

https://doi.org/10.1155/ASP.2005.1425

Received: 1 November 2003

Published: 21 June 2005

Abstract

The paper introduces a new objective method for speech quality assessment called Fourier-lapped multilayer perceptron (FLMLP). This method uses an overcomplete transform based on the discrete Fourier transform (DFT) and modulated lapped transform (MLT). This transform generates the DFT and the MLT speech spectral domains from which several relevant perceptual parameters are extracted. The proposed method also employs a multilayer perceptron neural network trained by a modified version of the scaled conjugated gradient method. This neural network maps the perceptual parameters into a subjective score. The numerical results show that FLMLP is an effective alternative to previous methods. As a result, it is worth stating that the techniques here described may be potentially useful to other researches facing the same kind of problem.

Keywords and phrases

fast Fourier transformmodulated lapped transformneural networkobjective speech quality assessmentperceptual featurescaled conjugated gradient optimization method

Authors’ Affiliations

(1)
Departamento de Comunicações (DECOM), Faculdade de Engenharia Elétrica e de Computação (FEEC), Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil

Copyright

© Ribeiro et al. 2005