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System and method for generating and using context dependent sub-syllable models to recognize a tonal language

  • US 5,680,510 A
  • Filed: 01/26/1995
  • Issued: 10/21/1997
  • Est. Priority Date: 01/26/1995
  • Status: Expired due to Term
First Claim
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1. A speech recognition system for recognizing syllables of a language, the syllables of the language each being formed from an initial sub-syllable and a final sub-syllable, the speech recognition system comprising:

  • a speech identifier for storing a plurality of valid combinations of initial sub-syllables and final sub-syllables;

    a storage device for storing a plurality of initial sub-syllable models and final sub-syllable models; and

    a speech determinator for receiving;

    an input signal to be recognized via a first input;

    the plurality of valid combinations from the speech identifier via a second input; and

    the plurality of models from the storage device via a third input;

    wherein, after the speech determinator receives the input signal, the plurality of valid combinations and the plurality of models, the speech determinator creates appended models from the received plurality of models according to the received plurality of valid combinations, each appended model comprising a final sub-syllable model appended to the end of an initial sub-syllable model, compares the input signal to each appended model, and then generates and outputs a signal indicating one of the appended models that most closely matches the input signal.

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