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24/06/2005 - Controller General of Patents, Designs, and Trade Marks

24/06/2005 - Controller General of Patents, Designs, and Trade Marks

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(21) Application No. IN/PCT/2000/211/DEL A (22) Date <strong>of</strong> filing <strong>of</strong> Application: 20/09/2000<br />

(54) Title <strong>of</strong> the invention: “GENERATOR OF AN ADAPTED SPEECH RECOGNIZER.”<br />

(51) International Classification 7 : G 01L 5/<strong>06</strong><br />

(30) Priority Data :<br />

(31) Document No.: 60/082,656, 09/<strong>06</strong>6,113<br />

(32) Date : 22/04/1998, 23/04/1998<br />

(33) Name <strong>of</strong> convention country : U.S.A.<br />

(66) Filed U/s 5(2) : NIL<br />

(61) Patent <strong>of</strong> addition to application No. : NA<br />

(62) Filed on : NA<br />

(63) Divisional to Application No. :NIL<br />

(64) Filed on : NA<br />

Total No. <strong>of</strong> Pages: 25<br />

(57) Abstract:<br />

(71) Name <strong>of</strong> the applicant:<br />

INTERNATIONAL BUSINESS<br />

MACHINES CORPORATION.<br />

Address <strong>of</strong> the Applicant:<br />

Armonk, New York 10504, U.S.A.<br />

(72) Name <strong>of</strong> the Inventor:<br />

FISCHER VOLKER<br />

GAO YUQING<br />

PICHENY MICHAEL A.<br />

FUNZMANN SIEGFRIED<br />

The invention relates to a generator <strong>and</strong> a method for generating an adapted speaker independent<br />

speech recognizer.<br />

The generator <strong>of</strong> an adapted speech recognizer is being based upon a base speech recognizer <strong>of</strong> an<br />

arbitrary base language. The generator also comprises an additional speech data corpus used for<br />

generation <strong>of</strong> said adapted speech recognizer. Said additional speech data corpus comprises a<br />

collection <strong>of</strong> domain specific speech data <strong>and</strong>/or dialect specific speech data. Said generator<br />

comprises reestimation means for reestimating language or domain specific acoustic model<br />

parameters <strong>of</strong> the base speech recognizer by a speaker adaption technique. Said additional speech<br />

data corpus is exploited by said reestimation means for generating the adapted speech recognizer.<br />

The invention proposes smoothing means for smoothing means for smoothing the reestimated<br />

acoustic model parameters. A beneficial range for the smoothing factor <strong>of</strong> a Bayesian smoothing<br />

is given.<br />

It is further suggested to iterate the adaption process.<br />

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