Patent №
US 7,280,965
Granted
2007-10-09
Filed 2003
Owner
AT&T CORP.
Lab
—
AI components
3
ml · nlp · speech
Assignment
Recorded
Dataset
AIPD
2023_r1 edition
Application
10407565
Systems and methods for monitoring labelers of speech data. To test or train labelers, a labeler is presented with utterances that have already been identified as belonging to a particular class or call type. The labeler is asked to assign a call type to the utterances. The performance of the labeler is measured by comparing the call types assigned by the labeler with the existing call types of the utterances. The performance of a labeler can also be monitored as the labeler labels speech data by occasionally having the labeler label an utterance that is already labeled and by storing the results.
AI classification
Ownership
AT&T CORP.
assignment · 142690326
Assignors
BEGEJA, LEE, COX, RICHARD VANDERVOORT, DRUCKER, HARRIS, GIBBON, DAVID CRAWFORD, GORIN, ALLEN LOUIS, HAFFNER, PATRICK GUY, LEWIS, STEVEN H., LIU, ZHU, RAHIM, MAZIN G., RENGER, BERNARD S., SHAHRARAY, BEHZAD
On an employer assignment, the assignors are typically the inventors.