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E. Alexandre, L. Álvarez, L. Cuadra, and M. Rosa-Zurera, "On the Training of Multilayer Perceptrons for Speech/Non-Speech Classification in Hearing Aids," Paper 7136, (2007 May.). doi: E. Alexandre, L. Álvarez, L. Cuadra, and M. Rosa-Zurera, "On the Training of Multilayer Perceptrons for Speech/Non-Speech Classification in Hearing Aids," Paper 7136, (2007 May.). doi:
Abstract: This paper explores the application of multilayer perceptrons (MLP) to the problem of speech/non-speech classification in digital hearing aids. When properly designed and trained, MLPs are able to generate an arbitrary classification frontier with a relatively low computational complexity. The paper will focus on studying the key influence of the training process on the performance of the system. An appropriate election of the training algorithm will help to provide better classification with a lower number of neurons in the network, which leads to a lower computational complexity. The results obtained will be compared with those obtained from two reference algorithms (the Fisher linear discriminant and the k-Nearest Neighbour), along with some comments regarding the computational complexity.

@article{alexandre2007on,
author={alexandre, enrique and álvarez, lorena and cuadra, lucas and rosa-zurera, manuel},
journal={journal of the audio engineering society},
title={on the training of multilayer perceptrons for speech/non-speech classification in hearing aids},
year={2007},
volume={},
number={},
pages={},
doi={},
month={may},} @article{alexandre2007on,
author={alexandre, enrique and álvarez, lorena and cuadra, lucas and rosa-zurera, manuel},
journal={journal of the audio engineering society},
title={on the training of multilayer perceptrons for speech/non-speech classification in hearing aids},
year={2007},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={this paper explores the application of multilayer perceptrons (mlp) to the problem of speech/non-speech classification in digital hearing aids. when properly designed and trained, mlps are able to generate an arbitrary classification frontier with a relatively low computational complexity. the paper will focus on studying the key influence of the training process on the performance of the system. an appropriate election of the training algorithm will help to provide better classification with a lower number of neurons in the network, which leads to a lower computational complexity. the results obtained will be compared with those obtained from two reference algorithms (the fisher linear discriminant and the k-nearest neighbour), along with some comments regarding the computational complexity.},}

TY - paper
TI - On the Training of Multilayer Perceptrons for Speech/Non-Speech Classification in Hearing Aids
SP - EP -
AU - Alexandre, Enrique
AU - Álvarez, Lorena
AU - Cuadra, Lucas
AU - Rosa-Zurera, Manuel
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2007 TY - paper
TI - On the Training of Multilayer Perceptrons for Speech/Non-Speech Classification in Hearing Aids
SP - EP -
AU - Alexandre, Enrique
AU - Álvarez, Lorena
AU - Cuadra, Lucas
AU - Rosa-Zurera, Manuel
PY - 2007
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2007
AB - This paper explores the application of multilayer perceptrons (MLP) to the problem of speech/non-speech classification in digital hearing aids. When properly designed and trained, MLPs are able to generate an arbitrary classification frontier with a relatively low computational complexity. The paper will focus on studying the key influence of the training process on the performance of the system. An appropriate election of the training algorithm will help to provide better classification with a lower number of neurons in the network, which leads to a lower computational complexity. The results obtained will be compared with those obtained from two reference algorithms (the Fisher linear discriminant and the k-Nearest Neighbour), along with some comments regarding the computational complexity.