Language identification with phonological and lexical models

G - Physics – 10 – L

Patent

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G10L 9/00 (1995.01)

Patent

CA 2160184

A method and apparatus for identifying a speech signal as representing speech in a given candidate language. First, the described illustrative embodiment performs a language-specific phoneme recognition on the speech signal for the given candidate language. Next, a corresponding phonemotactic (i.e., phoneme transition probability) model for the given language is applied to produce one or more corresponding phoneme sequences and associated likelihood scores (e.g, probabilities). Then, a corresponding lexical model for the given language is applied to the phoneme sequences and their associated likelihood scores. In this manner, the lexical characteristics of the given language are taken into account in order to identify the most likely phoneme sequence (assuming that the given candidate language is, in fact, the language which was spoken) and its associated likelihood. This associated likelihood is used to provide a resultant likelihood score for the given candidate language. Finally, the speech signal isidentified as representing speech in the given language based on the resultant likelihood score so obtained. In particular, the speech signal is analyzed in accordance with the above with respect to each of a plurality of candidate languages, and is identified as representing speech in the candidate language which produces the highest likelihood score.

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