Strategies de perception par vision active pour la reconstruction et l'exploration de scnes statiques (1996)
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| Venue: | PhD Thesis, Universit de Rennes 1, IRISA |
| Citations: | 4 - 1 self |
BibTeX
@INPROCEEDINGS{Trancoso96strategiesde,
author = {Isabel Trancoso and Senior Member},
title = {Strategies de perception par vision active pour la reconstruction et l'exploration de scnes statiques},
booktitle = {PhD Thesis, Universit de Rennes 1, IRISA},
year = {1996},
pages = {1281--1291}
}
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Abstract
Abstract—This paper presents an algorithm for the composition of weighted finite-state transducers which is specially tailored to speech recognition applications: it composes the lexicon with the language model while simultaneously optimizing the resulting transducer. Furthermore, it performs these computations “on-the-fly ” to allow easier management of the tradeoff between offline and online computation and memory. The algorithm is exact for local knowledge integration and optimization operations such as composition and determinization. Minimization and pushing operations are approximated. Our results have confirmed the efficiency of these approximations. Index Terms—Speech recognition, weighted finite-state transducers (WFSTs). I.
