Recognition Confidence Measures: Detection of Misrecognitions and Out- Of-Vocabulary Words
Sheryl R. Young · 1994
This paper describes and evaluates a new technique for measuring confidence in word strings produced by speech recognition systems. It detects misrecognized and out-of-vocabulary words in spontaneous spoken dialogs. The system uses multiple, diverse knowledge sources including acoustics, semantics, pragmatics and discourse to determine if a word string is misrecognized. When likely misrecognitions are detected, a series of tests distinguishes out-of-vocabulary words from other error sources. The work is part of a larger effort to automatically recognize and understand new words when spoken in a spontaneous spoken dialog.