http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CA-1199731-A

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assignee http://rdf.ncbi.nlm.nih.gov/pubchem/patentassignee/MD5_519b2d0d6430595275222bf706016121
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L15-19
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G10L15-02
filingDate 1984-12-11-04:00^^<http://www.w3.org/2001/XMLSchema#date>
grantDate 1986-01-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_b723585cfb2d7260fde24efb44a266c6
publicationDate 1986-01-21-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber CA-1199731-A
titleOfInvention Speech recognition method and apparatus
abstract ABSTRACT OF THE DISCLOSURE A speech recognition method and apparatus for detecting and recognizing one or more keywords in a continuous audio signal is disclosed. Each keyword is represented by a keyword template which corresponds to a sequence of plural target patterns, and each target pattern comprises statistics representing each of a plurality of spectra selected from plural short-term spectra generated according to a predetermined system for processing of the incoming audio. The spectra are processed to enhance the separation between the spectral pattern classes during later analysis. The processed audio spectra are grouped into multi-frame spectral patterns and are compared by means of likelihood statistics with the target patterns of the keyword templates. Each multi-frame pattern is forced to contribute to the total score for each keyword as represented by the keyword template. A concatenation technique employing a loosely set detection threshold makes it very unlikely that a correct pattern will be rejected.
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priorityDate 1981-10-05-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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