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Sunderland Repository records the research produced by the University of Sunderland including practice-based research and theses.

Comparing State Vector Machines, Recurrent Networks and Finite State Transducers for Classifying Spoken Utterances

Garfield, Sheila and Wermter, Stefan (2003) Comparing State Vector Machines, Recurrent Networks and Finite State Transducers for Classifying Spoken Utterances. In: International Conference on Artificial Neural Networks.

Item Type: Conference or Workshop Item (UNSPECIFIED)
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Depositing User: Rachel Webb

Identifiers

Item ID: 66
ISSN: 3540404082
URI: http://sure.sunderland.ac.uk/id/eprint/66

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Date Deposited: 13 Jan 2010 10:48
Last Modified: 04 Apr 2012 13:27

Contributors

Author: Sheila Garfield
Author: Stefan Wermter

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