Daniel Azzopardi

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A combination of techniques for increasing recognition accuracy has been developed for an automated corporate directory system with 120,000 entries. Using a traditional recogniser an accuracy of around 60% has previously been obtained for both a 156 town name task and 1108 road name task. Techniques presented in this paper comprise front-end modifications,(More)
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