The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 06, 1999

Filed:

Apr. 17, 1997
Applicant:
Inventor:

Vijay R Raman, Mountain View, CA (US);

Assignee:

Nynex Science and Technology, Inc., White Plains, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G10L / ;
U.S. Cl.
CPC ...
704256 ; 704236 ; 704242 ;
Abstract

Methods and apparatus for transitioning from one speech recognition system to another and for reusing existing speech recognition data are described. In particular, various methods of converting speech recognition templates or models from a first format to a second format are described. Methods for improving the recognition rate achieved using converted templates or models are also described. These methods involve storing source and/or scoring information for templates or models so that converted models or templates can be scored differently than original models or templates to thereby reflect the effect the conversion process has on recognition scores. In order to enhance recognition results in one embodiment an available compressed voice recording is used in the conversion process. The methods and apparatus of the present invention can be applied to a wide variety of speech recognition template and model conversion applications. Methods and apparatus for generating garbage models are also described. In one embodiment a garbage model is generated dynamically at recognition time using a period of silence in the utterance upon which the recognition operation is to be performed as the source of the data required to generated the garbage model. In this manner a garbage model is generated to reflect the particular background noise conditions, associated with a particular utterance, upon which speech recognition is to be performed.


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