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A New Approach to Speech-Input Statistical Translation

8 years 11 months ago
A New Approach to Speech-Input Statistical Translation
The statistical pattern recognition is a promising framework for text-to-text translation. However, a natural extension to speech-input translation is not straightforward. In this paper, we present a method to deal with the speech input statistical translation problem that could be considered as a step towards a fully integrated recognition-translation procedure. In this version a word graph was used in the input as a representation of the acoustic of a given utterance. As a case study, experimental results with the socalled “Traveller task” are presented by using a text-input statistical translator.
Ismael García-Varea, Alberto Sanchís
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Ismael García-Varea, Alberto Sanchís, Francisco Casacuberta
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