Method of speech recognition using decoded state sequences...

G - Physics – 10 – L

Patent

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G10L 15/14 (2006.01) G10L 15/10 (2006.01)

Patent

CA 2194617

Embodiments of the invention include a speech recognition method and system for transmitting information including the receipt and decoding of speech information such as that modeled by hidden Markov models (HMMs). The state likelihoods of the modeled state sequences contained within the speech information are assigned penalties based on the difference between those state likelihoods and a maximum possible state likelihood. Once penalties have been assigned, the modified state sequence with the modified state likelihoods having the highest cumulative state likelihoods is used in further speech recognition processing. In this manner, state sequences having no extremely poor state likelihoods are favored over those having both extremely high and extremely poor state likelihoods.

'invention comporte une méthode de reconnaissance de la parole et un système de transmission de l'information, qui comprend la réception et le décodage de l'information vocale selon le modèle de Markov caché. Les états de vraisemblance des séquences d'état de base contenus dans l'information vocale reçoivent des pénalités en fonction de l'écart entre ces états de vraisemblance et l'état de vraisemblance maximale. Une fois les pénalités attribuées, la séquence d'état modifiée avec l'état de vraisemblance modifié ayant la vraisemblance cumulative maximale la plus élevée est utilisée pour une reconnaissance plus poussée de la parole. De cette façon, les séquences d'état exemptes d'états de vraisemblance extrêmement faible sont préférées aux séquences d'état ayant des états de vraisemblance très élevée et des états de vraisemblance extrêmement faible.

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