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:
Dec. 20, 1994

Filed:

Jul. 29, 1992
Applicant:
Inventors:

Toru Sanada, Kawasaki, JP;

Shinta Kimura, Kawasaki, JP;

Assignee:

Fujitsu Limited, Kawasaki, JP;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G10L / ;
U.S. Cl.
CPC ...
381 43 ; 381 41 ;
Abstract

A speaker adapted speech recognition system achieving a high recognition rate for an unknown speaker, comprises a plurality of acoustic templates of speakers for managing correspondence between an acoustic feature of the speech and a content of the speech, a converting portion for converting the acoustic feature of the speech managed by the acoustic templates according to a set parameter, a learning portion for learning the parameter, at which the acoustic feature of the acoustic template as converted by the converting portion is approximately coincidence with the acoustic feature of a corresponding speech input for learning when the speech input for learning is provided, a selection portion for selecting one or more of the acoustic templates having the closest acoustic features to that of a speech input for selection; the acoustic features of which are converted by the converting portion by comparing the corresponding acoustic feature of the speech input for selection with the corresponding acoustic features converted by the converting portion when the speech input for selection is provided, and an acoustic template for the unknown speaker is created by converting the acoustic features of the acoustic templates of the speakers that are selected by the selection portion, by the converter, for recognize the content of the speech input of the unknown speaker by using the created acoustic template of the speaker.


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