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.
Patent No.:
Date of Patent:
Sep. 02, 1997
Filed:
Jun. 05, 1995
Joseph Charles Andreshak, Mahopac, NY (US);
Gregg H Daggett, Yorktown Heights, NY (US);
John Karat, Greenwich, CT (US);
John Lucassen, New York, NY (US);
Stephen Eric Levy, Valhalla, NY (US);
Robert Lawrence Mack, Yorktown Heights, NY (US);
International Business Machines Corporation, Armonk, NY (US);
Abstract
An interactive computer system having a processor executing a target computer program, and having a speech recognizer for converting an utterance into a command signal for the target computer program. The target computer program has a series of active program states occurring over a series of time periods. At least a first active-state image is displayed for a first active state occurring during a first time period. At least one object displayed in the first active-state image is identified, and a list of one or more first active-state commands identifying functions which can be performed in the first active state of the target computer program is generated from the identified object. A first active-state vocabulary of acoustic command models for the first active state comprises the acoustic command models from a system vocabulary representing the first active-state commands. A speech recognizer measures the value of at least one feature of an utterance during each of a series of successive time intervals within the first time period to produce a series of feature signals. The measured feature signals are compared to each of the acoustic command models in the first active-state vocabulary to generate a match score for the utterance and each acoustic command model. The speech recognizer outputs a command signal corresponding to the command model from the first active-state vocabulary having the best match score.