TY  - JOUR
T1  - Multiple Hypotheses in Confidence Scoring Measures for Spoken Dialog System
AU - , V. Meenakshi AU - , V. Shanthi 
JO  - Asian Journal of Information Technology
VL  - 6
IS  - 5
SP  - 647
EP  - 651
PY  - 2007
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2007.647.651
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2007.647.651
KW  - Confidence scoring
KW  -classification error rate
KW  -LM feature
KW  -decoder feature
AB  - This study provides improved confidence assessment for detection of word-level speech recognition errors, out of domain utterances and incorrect concepts. New features from the speech understanding component are proposed for confidence annotation at utterance and concept levels. In addition, the confidence measures are used to improve the word recognition accuracy. Several hypotheses from different speech recognizers are compiled into a word-graph. The word-graph is searched for the hypothesis with the best confidence.
ER  -