Error-responsive feedback mechanisms for speech recognizers

Error-responsive feedback mechanisms for speech recognizers (1997)

by Lin Lawrance Chase

Citations:

37 - 4 self

Datum	Value	Source
TITLE	Error-responsive feedback mechanisms for speech recognizers	INFERENCE
AUTHOR NAME	Lin Lawrance Chase	SVM HeaderParse 0.2
ABSTRACT	This thesis is about modeling, analyzing, and predicting errorful behavior in large vocabulary continuous speech recognition systems. Because today's state-of-the-art recognizers are not designed to be situated naturally in an error feedback loop, they are ill-positioned for inclusion in multi-modal interfaces, multi-media databases, and other interesting applications. I make improvements to the current approach to predicting and analyzing error behaviors, which is currently based only on the measurement ofword error rate. The speech recognizer's functionality is extended to include con dence annotations, which are \meta-level " markings that indicate how certain the recognizer is that it has decoded its input correctly. This is accomplished by feeding externally de ned error conditions back to the recognizer. Error feedback enables the construction of statistical models that map measurements of the recognizer's internal states and behaviors to externally de ned error conditions.	SVM HeaderParse 0.2
YEAR	1997	INFERENCE
VENUE TYPE	TECHREPORT	INFERENCE
TECH	Ph.D. thesis	INFERENCE
CITATIONS	60 found	ParsCit 1.0