Gamma MLP - using multiple temporal resolutions for improved classification

Steve Lawrence, Andrew D. Back, Ah Chung Tsoi, C. Lee Giles

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

The Gamma multilayer perceptron (MLP) is a MLP with the synaptic weights replaced by gamma filters and associated gain terms throughout all layers and it is applied to speech phoneme recognition problem. The Gamma MLP uses a large range of temporal resolutions for this kind of problem. Further motivation for the Gamma MLP is related to the `curse of dimensionality' and the ability of the Gamma MLP to trade off temporal resolution for memory depth. The memory depth of the network increases without increasing its dimensionality.

Original languageEnglish (US)
Title of host publicationNeural Networks for Signal Processing - Proceedings of the IEEE Workshop
PublisherIEEE
Pages256-265
Number of pages10
StatePublished - 1997
EventProceedings of the 1997 7th IEEE Workshop on Neural Networks for Signal Processing, NNSP'97 - Amelia Island, FL, USA
Duration: Sep 24 1997Sep 26 1997

Other

OtherProceedings of the 1997 7th IEEE Workshop on Neural Networks for Signal Processing, NNSP'97
CityAmelia Island, FL, USA
Period9/24/979/26/97

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

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