Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Fourier-lapped multilayer perceptron method for speech quality assessment
Author: Ribeiro, MV
Barbedo, JGA
Romano, JMT
Lopes, A
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.
Subject: fast Fourier transform
modulated lapped transform
neural network
objective speech quality assessment
perceptual feature
scaled conjugated gradient optimization method
Country: EUA
Editor: Hindawi Publishing Corporation
Citation: Eurasip Journal On Applied Signal Processing. Hindawi Publishing Corporation, v. 2005, n. 9, n. 1425, n. 1434, 2005.
Rights: aberto
Identifier DOI: 10.1155/ASP.2005.1425
Date Issue: 2005
Appears in Collections:Unicamp - Artigos e Outros Documentos

Files in This Item:
There are no files associated with this item.

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.