Robust Signal Subspace Speech Classifier
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 considerat...
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| Format: | Article |
| Language: | English |
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IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
2007
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| Online Access: | http://shdl.mmu.edu.my/2988/ http://shdl.mmu.edu.my/2988/1/1018.pdf |
| _version_ | 1848790203294023680 |
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| author | Tan, Alan W. C. Rao, M. V. C. Sagar, B. S. Daya |
| author_facet | Tan, Alan W. C. Rao, M. V. C. Sagar, B. S. Daya |
| author_sort | Tan, Alan W. C. |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T18:08:53Z |
| format | Article |
| id | mmu-2988 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:08:53Z |
| publishDate | 2007 |
| publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-29882014-02-18T02:27:07Z http://shdl.mmu.edu.my/2988/ Robust Signal Subspace Speech Classifier Tan, Alan W. C. Rao, M. V. C. Sagar, B. S. Daya T Technology (General) QA75.5-76.95 Electronic computers. Computer science 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. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC 2007-11 Article NonPeerReviewed text en http://shdl.mmu.edu.my/2988/1/1018.pdf Tan, Alan W. C. and Rao, M. V. C. and Sagar, B. S. Daya (2007) Robust Signal Subspace Speech Classifier. IEEE Signal Processing Letters, 14 (11). pp. 844-847. ISSN 1070-9908 http://dx.doi.org/10.1109/LSP.2007.900036 doi:10.1109/LSP.2007.900036 doi:10.1109/LSP.2007.900036 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science Tan, Alan W. C. Rao, M. V. C. Sagar, B. S. Daya Robust Signal Subspace Speech Classifier |
| title | Robust Signal Subspace Speech Classifier |
| title_full | Robust Signal Subspace Speech Classifier |
| title_fullStr | Robust Signal Subspace Speech Classifier |
| title_full_unstemmed | Robust Signal Subspace Speech Classifier |
| title_short | Robust Signal Subspace Speech Classifier |
| title_sort | robust signal subspace speech classifier |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/2988/ http://shdl.mmu.edu.my/2988/ http://shdl.mmu.edu.my/2988/ http://shdl.mmu.edu.my/2988/1/1018.pdf |