Title
Phonetic Distance Based Confidence Measure
Abstract
This letter presents a novel confidence measure for the purpose of improving user performance in Spoken Document Retrieval (SDR). The proposed confidence measure is based on the phonetic distance between subword models, employing an anti-model which is determined to be discriminative to a target model using offline training data. As an advancement from our previous work, the proposed method employ...
Year
DOI
Venue
2010
10.1109/LSP.2009.2034551
IEEE Signal Processing Letters
Keywords
DocType
Volume
Acoustic measurements,Noise measurement,Information retrieval,Distortion measurement,Speech analysis,Background noise,Automatic speech recognition,Training data,Frequency measurement,Acoustic signal detection
Journal
17
Issue
ISSN
Citations 
2
1070-9908
1
PageRank 
References 
Authors
0.36
4
2
Name
Order
Citations
PageRank
Wooil Kim112016.95
John H. L. Hansen23215365.75