Title
Experimental evaluation on confidence of agreement among multiple Japanese LVCSR models
Abstract
For many practical applications of speech recognition systems, it is quite desirable to have an estimate of confidence for each hypothesized word. Unlike previous works on confidence mea- sures, this paper studies features for confidence measures that are extracted from outputs of more than one LVCSR models. More specifically, this paper experimentally evaluates the agree- ment among the outputs of multiple Japanese LVCSR models, with respect to whether it is effective as an estimate of confi- dence for each hypothesized word. The results of experimental evaluation show that the agreement between the outputs with two acoustic models which have different units in HMMs, such as phonemes and syllables, can achieve quite reliable confi- dence.
Year
Venue
Keywords
2001
INTERSPEECH
speech recognition
Field
DocType
Citations 
Confidence measures,Pattern recognition,Computer science,Speech recognition,Natural language processing,Artificial intelligence
Conference
6
PageRank 
References 
Authors
0.56
7
4
Name
Order
Citations
PageRank
Yasuhiro Kodama1192.87
takehito utsuro245682.76
Hiromitsu Nishizaki316329.49
Seiichi Nakagawa4598104.03