Patent Document ID: 9384188
Application ID: 14606706

Base Claim:
1. A computer-implemented method comprising: executing speech recognition on a captured input and generating lexicalized hypotheses from the captured input; normalizing the lexicalized hypotheses to generate normalized hypotheses for the lexicalized hypotheses, wherein a normalized hypothesis comprising one or more tokens; generating a confusion network comprising token representations of normalized hypotheses, wherein each arc of the confusion network represents a token of a normalized hypothesis; and transforming the generated confusion network into a multi-arc confusion network, wherein the transforming comprising realigning at least one token of the confusion network to span multiples arcs of the confusion network.

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Claim 6:
6. The computer-implemented method according to claim 1 , wherein: the generating of lexicalized hypotheses further comprises generating an acoustic score for each of the lexicalized hypotheses, the generating of the normalized hypotheses further comprises rescoring the acoustic score for each of the lexicalized hypotheses to generate a score for each of the normalized hypotheses by applying a token language model to acoustic scores of the lexicalized hypotheses.