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System and Method for Learning Alternate Pronunciations for Speech Recognition

  • US 20170032780A1
  • Filed: 10/12/2016
  • Published: 02/02/2017
  • Est. Priority Date: 10/16/2013
  • Status: Active Grant
First Claim
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1. A method for generating candidate pronunciations for a selected word for learning alternative pronunciations of the word in a given language utilizing a grammar-based recognizer in a speech recognition system, the method comprising the steps of:

  • a. training an acoustic model for use by the grammar-based recognizer on a large speech corpus to distinguish phonemes;

    b. constructing a phoneme confusion matrix for application by the grammar-based recognizer to find similar phonemes of mispronounced phonemes in the selected word;

    c. constructing a phoneme replacement candidate list of the selected word for each phoneme in a set of speech data containing pronunciations for recognition, using the phoneme confusion matrix;

    d. learning, by the grammar-based recognizer, candidate pronunciations of the word, using input from the acoustic model;

    e. combining said learned candidate pronunciations with a linguistic dictionary to create a pooled dictionary; and

    f. pruning said pooled dictionary to limit the number of learned candidate pronunciations in order to create an improved dictionary.

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