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A Comparison of Network Architectures

  • Alex Graves
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 385)

Abstract

This chapter presents an experimental comparison between various neural network architectures on a framewise phoneme classification task (Graves and Schmidhuber, 2005a,b). Framewise phoneme classification is an example of a segment classification task (see Section 2.3.2). It tests an algorithm’s ability to segment and recognise the constituent parts of a speech signal, requires the use of contextual information, and can be regarded as a first step to continuous speech recognition.

Keywords

Hide Layer Network Architecture Neural Network Architecture Frame Error Rate Weighted Error 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of TorontoTorontoCanada

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