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Article: A Bayesian predictive classification approach to robust speech recognition
| Title | A Bayesian predictive classification approach to robust speech recognition |
|---|---|
| Authors | |
| Keywords | Bayesian predictive classification (bpc) Plug-in maximum a posteriori (map) decision Quasi-bayes approximation Robust automatic speech recognition |
| Issue Date | 2000 |
| Publisher | IEEE. |
| Citation | IEEE Transactions on Speech and Audio Processing, 2000, v. 8 n. 2, p. 200-204 How to Cite? |
| Abstract | We introduce a new decision strategy called Bayesian predictive classification (BPC) for robust speech recognition where an unknown mismatch between the training and testing conditions exists. We then propose and focus on one of the approximate BPC approaches called quasi-Bayes predictive classification (QBPC). In a series of comparative experiments where the mismatch is caused by additive white Gaussian noise, we show that the proposed QBPC approach achieves a considerable improvement over the conventional plug-in MAP decision rule. |
| Persistent Identifier | http://hdl.handle.net/10722/43650 |
| ISSN | |
| ISI Accession Number ID |
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Huo, Q | en_HK |
| dc.contributor.author | Lee, CH | en_HK |
| dc.date.accessioned | 2007-03-23T04:51:15Z | - |
| dc.date.available | 2007-03-23T04:51:15Z | - |
| dc.date.issued | 2000 | en_HK |
| dc.identifier.citation | IEEE Transactions on Speech and Audio Processing, 2000, v. 8 n. 2, p. 200-204 | en_HK |
| dc.identifier.issn | 1063-6676 | en_HK |
| dc.identifier.uri | http://hdl.handle.net/10722/43650 | - |
| dc.description.abstract | We introduce a new decision strategy called Bayesian predictive classification (BPC) for robust speech recognition where an unknown mismatch between the training and testing conditions exists. We then propose and focus on one of the approximate BPC approaches called quasi-Bayes predictive classification (QBPC). In a series of comparative experiments where the mismatch is caused by additive white Gaussian noise, we show that the proposed QBPC approach achieves a considerable improvement over the conventional plug-in MAP decision rule. | en_HK |
| dc.format.extent | 150843 bytes | - |
| dc.format.extent | 27136 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.format.mimetype | application/msword | - |
| dc.language | eng | en_HK |
| dc.publisher | IEEE. | en_HK |
| dc.relation.ispartof | IEEE Transactions on Speech and Audio Processing | - |
| dc.rights | ©2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. | - |
| dc.subject | Bayesian predictive classification (bpc) | - |
| dc.subject | Plug-in maximum a posteriori (map) decision | - |
| dc.subject | Quasi-bayes approximation | - |
| dc.subject | Robust automatic speech recognition | - |
| dc.title | A Bayesian predictive classification approach to robust speech recognition | en_HK |
| dc.type | Article | en_HK |
| dc.identifier.openurl | http://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1063-6676&volume=8&issue=2&spage=200&epage=204&date=2000&atitle=A+Bayesian+predictive+classification+approach+to+robust+speech+recognition | en_HK |
| dc.description.nature | published_or_final_version | en_HK |
| dc.identifier.doi | 10.1109/89.824706 | en_HK |
| dc.identifier.scopus | eid_2-s2.0-0033900150 | - |
| dc.identifier.hkuros | 50383 | - |
| dc.identifier.isi | WOS:000085821300012 | - |
| dc.identifier.issnl | 1063-6676 | - |