Matra Nortel Communications

Laurent Lelievre

Philip Lockwood

Catherine Glorion

A recognition test is applied to a segment of speech produced by a speaker. An examination is carried out to see whether a first optimum model, with which the recognition test has matched the spoken segment of speech, satisfies a criterion of likelihood. If the criterion of likelihood is satisfied, this first optimum model is selected. If not, a repetition of the speech segment is requested. The recognition test is applied to the segment of speech repeated by the speaker. This second optimum model is selected if it satisfies the likelihood criterion. If not, and if a combination of the results of the two recognition tests satisfies at least one criterion of combined selection, one of the models which the two recognition tests have matched with the spoken segment of speech and with the repeated segment is selected.

Method of speech recognition

A recognition test matches a speech segment supplied to the system with a set of parameters associated with a reference and memorized in a dictionary. A provisional version of each set of parameters to be memorized in the dictionary in association with a reference is estimated on the basis of one or more segments of speech, after which the provisional version is memorized in the dictionary in association with the reference. At least one repetition of the speech segment is submitted to a recognition test, after which depending on whether it has matched the speech segment with the provisional version, the provisional version is modified and the modified provisional version is memorized.

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Jouars-Pontchartrain, France

Laurent Lelievre