Using Information on Lexical Stress for Utterance Verification
A.G.G. Bouwman, Lou Boves · 2001
ASR applications like nationwide telephone directory assistance (DA) face the challenge of making a correct classification with only minimal amounts of acoustic data. For this reason, current systems still make too many errors in order to be useful. In the perspective of the idea that `no recognition' is better than `misrecognition', a feasible system should therefore detect and reject the least reliable hypotheses. This process is known as utterance verification.