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Voice recognition using an eigenvector

  • US 4,903,306 A
  • Filed: 09/29/1987
  • Issued: 02/20/1990
  • Est. Priority Date: 10/03/1986
  • Status: Expired due to Fees
First Claim
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1. A voice recognition method including the steps of:

  • (a) forming an input voice pattern from an input voice signal of an unknown input voice, said input voice pattern including a plurality of frames, each frame having frequency and time data;

    (b) comparing less than all of said frequency and time data of said input voice pattern with a library of known voice patterns, each of said known voice patterns having its own frequency and time data, to select a plurality of candidate voice patterns, each of said candidate voice patterns having;

    (1) an eigenvector having a non-zero minimum eigenvalue; and

    (2) an inner product frequency distribution of inner products between (i) the frames of each of said candidate voice patterns and (ii) said eigenvector;

    (c) calculating an inner product frequency distribution of inner products between the frames of said input voice pattern and the eigenvector of each of said plurality of candidate voice patterns; and

    (d) selecting one of said plurality of candidate voice patterns, whose inner product frequency distribution is most similar to one of said calculated inner product frequency distributions calculated at said calculating step to thereby identify said input voice by the thus selected candidate voice pattern.

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