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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Mauclair, J. Wendling, L. Janiszek, D. |
| Copyright Year | 2011 |
| Description | Author affiliation: LIPADE, University of Paris Descartes, Paris, France (Mauclair, J.; Wendling, L.; Janiszek, D.) |
| Abstract | This paper presents a study on merging confidence measures using fuzzy logic. Instead of the previous approaches using the notion of probability, we propose to observe the uncertainty of the recognition hypotheses and the notion of possibility thanks to fuzzy reasoning. Four different confidence measures are developed, coming from different parts of a speech recognizer. Various merging methods are studied to improve the performance of the confidence measures. The methods are evaluated in terms of Confidence Error Rate (CER) and in terms of their Detection Error Tradeoff (DET) curves on a French broadcast news corpus. They are compared to some fuzzy logic aggregation techniques among which the technique based on the Choquet Integral yields to a significant improvement in terms of CER. |
| Starting Page | 1149 |
| Ending Page | 1156 |
| File Size | 190052 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781424473151 |
| ISSN | 10987584 |
| e-ISBN | 9781424473175 |
| e-ISBN | 9781424473168 |
| DOI | 10.1109/FUZZY.2011.6007654 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-27 |
| Publisher Place | Taiwan |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Speech recognition Acoustics Training Acoustic measurements Merging Speech Indexes feature aggregation fuzzy logic confidence measures speech recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Artificial Intelligence Theoretical Computer Science Software |
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