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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Fischer, A. Stahl, V. |
| Copyright Year | 1999 |
| Description | Author affiliation: Philips Res. Lab., Aachen, Germany (Fischer, A.) |
| Abstract | Data collections in the car environment require much more effort in terms of cost and time as compared to the telephone or the office environment. Therefore we apply supervised database adaptation from the telephone environment to the car environment to allow quick setup of car environment recognizers. Further reduction of word error rate is obtained by unsupervised online adaptation during recognition. We investigate the common techniques MLLR and MAP for that purpose. We give results on command word recognition in the car environment for all combinations of database and online adaptation in task-dependent and task-independent scenarios. The possibility of setting up speech recognizers for the car environment based on telephone data and a limited amount of adaptation material from the car environment is demonstrated. |
| Starting Page | 445 |
| Ending Page | 448 |
| File Size | 418055 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780350413 |
| ISSN | 15206149 |
| DOI | 10.1109/ICASSP.1999.758158 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1999-03-15 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Databases Speech recognition Automotive materials Working environment noise Hidden Markov models Building materials Telephony Maximum likelihood linear regression Error analysis Costs |
| Content Type | Text |
| Resource Type | Article |
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