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Speech recognition

  • US 6,804,643 B1
  • Filed: 10/27/2000
  • Issued: 10/12/2004
  • Est. Priority Date: 10/29/1999
  • Status: Expired due to Fees
First Claim
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1. A speech recognition feature extractor for extracting speech features from a speech signal, comprising:

  • a time-to-frequency domain transformer for generating spectral magnitude values in the frequency domain from the speech signal;

    a frequency domain filtering block for generating a sub-band value relating to spectral magnitude values of a certain frequency sub-band, for each of a group of frequency sub-bands;

    a compression block for compressing said sub-band values;

    a transformat on block for obtaining a set of de-correlated features from the sub-band values; and

    a normalising block for normalizing features;

    said feature extractor comprising a mean emphasising block for emphasizing at least one of the sub-band values after frequency domain filtering, wherein the emphasising is accomplished by addition of a mean value of sub-band signals to said at least one of the sub-band values.

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