Abstract | ||
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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 |
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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 Kim | 1 | 120 | 16.95 |
John H. L. Hansen | 2 | 3215 | 365.75 |