| CPC G10L 15/063 (2013.01) [G06F 40/242 (2020.01); G10L 15/02 (2013.01); G10L 15/187 (2013.01); G10L 2015/025 (2013.01)] | 12 Claims |
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1. A computer-implemented method, executed on a computing device, comprising:
generating a plurality of potential vocalizations of a plurality of text samples, wherein generating the plurality of potential vocalizations includes processing the plurality of text samples using a text-to-speech tokenizer that converts each text sample into a token representing the speech content of the respective text sample;
identifying a plurality of phonemes associated with the plurality of potential vocalizations, wherein identifying the plurality of phonemes associated with the plurality of potential vocalizations includes matching at least a portion of the plurality of potential vocalizations to the plurality of phonemes from a phonetic dictionary:
generating a plurality of phonetically-related text portions based upon, at least in part, the plurality of phonemes, wherein generating the plurality of phonetically-related text portions includes:
identifying a plurality of sequences of text portions with at least a threshold similarity to the plurality of phonemes; and
selecting a sequence of text portions from the plurality of sequences of text portions that covers each of the plurality of text samples and is in a same order as the plurality of text samples, thus defining the plurality of phonetically-related text portions; and
training a natural language understanding (NLU) engine using the plurality of phonetically-related text portions.
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