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Systems and methods for speech recognition using frequency domain linear prediction polynomials to form temporal and spectral envelopes from frequency domain representations of signals

  • US 7,672,838 B1
  • Filed: 12/01/2004
  • Issued: 03/02/2010
  • Est. Priority Date: 12/01/2003
  • Status: Active Grant
First Claim
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1. An electronic method of extracting speech features from signals for use in performing automatic speech recognition, the method comprising using a computer processor to perform:

  • receiving a signal;

    performing a time-to-frequency domain transformation on at least a portion of the received signal to generate a frequency domain representation;

    dividing the frequency domain representation into a plurality of frequency bands;

    fitting a FDLP polynomial to each of the plurality of frequency bands;

    performing a frequency-to-time domain transformation to extract temporal envelopes from each of the plurality of frequency bands using the fitted FDLP polynomial;

    constructing spectral envelopes by taking a plurality of points at each of a plurality of time values in the temporal envelopes, wherein each of the spectral envelopes has points taken at a particular one of the time values;

    fitting a smooth envelope to each of the spectral envelopes; and

    generating at least one speech feature based at least in part on the temporal and spectral envelopes of each of the plurality of frequency bands.

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