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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Tan, A.W.C. Rao, M.V.C. Daya Sagar, B.S. |
| Copyright Year | 1994 |
| Abstract | A speech model inspired by the signal subspace approach was recently proposed as a speech classifier with modest results. The method entails, in general, the assemblage of a set of subspace trajectories that consist of the right singular vectors of measurement matrices of the signal under consideration. Given an unknown signal, a simple distortion measure then applies in the classification procedure to pick the best matched class prototype. This letter examines the issue of robustness in the subspace classification scheme. Borrowing an important result on noisy measurement matrices, this letter formally establishes the notion of robustness in subspace classification and proceeds to propose a class of robust distortion measures for signal subspace models. Simulation results of subspace classifiers implementing the new distortion measures in an isolated digit speech recognition problem reveal no degradation in recognition accuracy, even under low SNR conditions. |
| Sponsorship | IEEE Signal Processing Society |
| Starting Page | 844 |
| Ending Page | 847 |
| Page Count | 4 |
| File Size | 177169 |
| File Format | |
| ISSN | 10709908 |
| Volume Number | 14 |
| Issue Number | 11 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-11-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Distortion measurement Noise robustness Speech recognition Signal processing Noise measurement Speech processing Speech enhancement Additive white noise Assembly Prototypes subspace methods Robust distortion measures speech modeling speech recognition |
| Content Type | Text |
| Resource Type | Article |
| Subject | Applied Mathematics Signal Processing Electrical and Electronic Engineering |
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