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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tonghai Jiang Ming Tang Changliang Liu Fengpei Ge Fuping Pan |
| Copyright Year | 2009 |
| Abstract | This paper constructs a reading miscue detection system based on conventional Large Vocabulary Continuous Speech Recognition (LVCSR) framework. In order to incorporate the knowledge of reference (what the reader ought to read) and some error patterns into the decoding process, two methods are proposed: Dynamic Interpolation of Language Model (DILM) and Dynamic Multiple Pronunciation Incorporation (DMPI). DILM dynamically interpolates the general language model based on analysis of reference and so restricts the active paths of decoding not too far away from the reference. It makes the recognition more accurate, which further improve the detection performance. DMPI dynamically adds some pronunciation variations into the search space to predict reading substitutions. It solves the con¿iction between the coverage of error predictions and the perplexity the search space. The experimental results show that the proposed two methods can totally decrease EER by 14% relatively totally, from 46.4% to 39.8%. |
| Starting Page | 96 |
| Ending Page | 99 |
| File Size | 196148 |
| Page Count | 4 |
| File Format | |
| ISBN | 9780769539270 |
| e-ISBN | 9781424454105 |
| DOI | 10.1109/ICRCCS.2009.32 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-12-28 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | CALL Heuristic algorithms Lattices Decoding Multiple pronunciation Reading tutor Physics Automatic speech recognition LVCSR Computer science Interpolation Chemistry Speech recognition Reading miscues Computer errors |
| Content Type | Text |
| Resource Type | Article |
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