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State-dependent speaker clustering for speaker adaptation

  • US 5,787,394 A
  • Filed: 12/13/1995
  • Issued: 07/28/1998
  • Est. Priority Date: 12/13/1995
  • Status: Expired due to Term
First Claim
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1. A method for adapting the parameters of a speech recognition system during a training process, to better recognize speech of a particular test speaker comprising the steps of:

  • calculating the acoustic characterization of a plurality of training speakers for all acoustic subspaces of an acoustic space, the acoustic characterizations being individually identifiable for each training speaker for each acoustic subspace;

    calculating the acoustic characterization of a test speaker from adaptation data provided by said test speaker for acoustic subspaces of the acoustic space;

    computing a match score between the test speaker'"'"'s characterization for each acoustic subspace, and each training speaker'"'"'s characterization for the same acoustic subspace;

    ranking each of the training speakers in the acoustic subspace based upon the score; and

    for each acoustic space, generating a re-estimated acoustic model for the particular acoustic subspace using individually identifiable data respectively derived from the one or more training speakers closest to the test speaker for that acoustic subspace, the re-estimated acoustic model for each acoustic subspace being used during a decoding process.

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