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Speech recognition arrangement

  • US 4,937,870 A
  • Filed: 11/14/1988
  • Issued: 06/26/1990
  • Est. Priority Date: 11/14/1988
  • Status: Expired due to Term
First Claim
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1. In a speech recognizer having a plurality of stored reference pattern templates each comprising a time frame sequence of acoustic spectral parameters of a prescribed reference pattern, a method for processing an input signal to recognize a speech pattern comprisinggenerating a time frame sequence of acoustic spectral parameters from said input signal,generating a time frame sequence of acoustic nonspectral parameters from said input signal,time aligning each of said reference pattern templates with said input signal based on reference pattern and input signal spectral parameters but independent of said nonspectral parameters,determining a set of similarity measures each representative of the similarity between spectral parameters of said input signal and spectral parameters of one of the time aligned reference pattern templates andselectively identifying said speech pattern in said input signal as one of said reference patterns based both on said similarity measures and on said nonspectral parameters,wherein said time aligning comprisesfor each of said reference patterns, pairing time frames of that reference pattern template with time frames of said input signal to maximize the similarity measure determined for that reference pattern, said pairing defining a scan region of input signal time frames for that reference pattern,wherein said selectively identifying comprisesfor each of said reference patterns, adjusting the determined similarity measured based on said nonspectral parameters over the scan region of input signal time frames for that reference pattern andselectively identifying said speech pattern in said input signal as one of said reference patterns based on said adjusted similarity measures.

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