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Method of determining parameters of a statistical language model

  • US 6,691,088 B1
  • Filed: 10/20/1999
  • Issued: 02/10/2004
  • Est. Priority Date: 10/21/1998
  • Status: Expired due to Fees
First Claim
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1. A method of determining parameters of a statistical language model for automatic speech recognition systems using a training corpus, comprising the steps of:

  • combining at least a portion of elements of a vocabulary to form context-independent vocabulary element classes, wherein the context-independent vocabulary elements are independent of adjoining elements of a context-independent vocabulary element class;

    evaluating frequencies of occurrence of vocabulary element sequences, and any of the frequencies of occurrence of derived sequences formed from the vocabulary element sequences by replacement of at least one vocabulary element by an associated vocabulary element class; and

    deriving the parameters of the language model from the evaluated frequencies of occurrence.

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