Voice recognition for large dynamic vocabularies

G - Physics – 10 – L

Patent

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G10L 15/08 (2006.01)

Patent

CA 2531496

The invention relates to a voice recognition method comprising a representation stage of a vocabulary translated into a Markhov model; a decoding stage by a Viterbi algorithm and a pruning stage for solutions explored. The invention is characterized in that the vocabulary is described in the form of a tree consisting of arcs and nodes between which phonetic units used by the application language model are defined, and in that the Markhov network required for the Viterbi decoding is at least partially constructed in a dynamic manner by means of Markhovian sub-units. The invention also relates to a voice recognition system used to carry out the above-mentioned method.

La présente invention se rapporte à un procédé de reconnaissance vocale comportant une étape de représentation d'un vocabulaire traduit en un modèle de Markov, une étape de décodage par un algorithme de Viterbi et une étape d'élagage des solutions explorées, caractérisé en ce que ledit vocabulaire est décrit sous forme d'un arbre composé d'arcs et de n.oelig.uds entre lesquels sont définies des transcriptions décrivant les unités phonétiques utilisées par le modèle de langage de l' application, et en ce que le réseau de Markov nécessaire au décodage de Viterbi est construit au moins en partie de manière dynamique grâce à des sous-unités Markoviennes. La présente invention se rapporte également à un système de reconnaissance vocale pour la mise en .oelig.uvre du procédé.

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