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Automatic generation of simple Markov model stunted baseforms for words in a vocabulary

  • US 4,833,712 A
  • Filed: 05/29/1985
  • Issued: 05/23/1989
  • Est. Priority Date: 05/29/1985
  • Status: Expired due to Term
First Claim
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1. In a system that (i) generates in an acoustic processor a string of fenemes in response to speech input, (ii) defines each word in a vocabulary by a respective fenemic baseform comprising a sequence of Markov model fenemic phones each of which relate to a feneme generatable by the acoustic processor, and (iii) defines an alphabet of composite Markov model phonetic phones each of which relates to a phonetic element and each of which correlates to at least one fenemic phone, a method of selecting Markov model phones for inclusion in a stunted baseform constructed of a sequence of phonetic phones, the method comprising the steps of:

  • (a) generating a respective string of fenemes in response to an utterance of a selected word;

    (b) selecting the fenemic baseform having the highest probability of producing the string of fenemes and aligning the selected fenemic baseform against the generated string of fenemes;

    (c) replacing each fenemic phone in the fenemic baseform by a composite phone corresponding thereto, thereby forming a composite phone baseform;

    (d) selecting a pair of adjacent composite phones in the composite phone baseform;

    (e) determining a substring of fenemes aligned against the selected pair of adjacent phones;

    (f) computing, for each composite phone in the composite phone alphabet, a respective probability of producing the determined substring of fenemes;

    (g) selecting the composite phone having the highest probability of having produced the determined substring;

    (h) repeating steps (d) through (g) for each pair of adjacent phones in the composite phone baseform; and

    (j) replacing at least one pair of adjacent composite phones by the selected composite phone corresponding thereto.

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