Out-of-vocabulary word detection and beyond

Abstract

In this work, we summarize our experiences in detection of unexpected words in automatic speech recognition (ASR). Two approaches based upon a paradigm of incongruence detection between generic and specific recognition systems are introduced. By arguing, that detection of incongruence is a necessity, but does not suffice when having in mind possible follow-up actions, we motivate the preference of one approach over the other. Nevertheless, we show, that a fusion outperforms both single systems. Finally, we propose possible actions after the detection of unexpected words, and conclude with general remarks about what we found to be important when dealing with unexpected words. © 2012 Springer-Verlag Berlin Heidelberg.