A signal subspace approach for speech modelling and classification
In this paper, a speech classifier inspired by the signal subspace approach is developed. A novel signal subspace speech model is initially obtained via a rank reducing subspace decomposition algorithm that is based on the SVD. Motivated by the assumption that the speech signal comprises of short te...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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ELSEVIER SCIENCE BV
2007
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| Subjects: | |
| Online Access: | http://shdl.mmu.edu.my/3088/ http://shdl.mmu.edu.my/3088/1/1110.pdf |
| _version_ | 1848790230781394944 |
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| author | TAN, A RAO, M DAYASAGAR, B |
| author_facet | TAN, A RAO, M DAYASAGAR, B |
| author_sort | TAN, A |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | In this paper, a speech classifier inspired by the signal subspace approach is developed. A novel signal subspace speech model is initially obtained via a rank reducing subspace decomposition algorithm that is based on the SVD. Motivated by the assumption that the speech signal comprises of short term dynamics that are slowly changing, it follows that the signal subspace of the speech signal is likewise slowly changing. The proposed signal subspace model aims to characterize the subspace dynamics using a family of subspace trajectories. In particular, each subspace trajectory is a sequence of vectors that traces the dynamics of a rank-one subspace in time. An assembly of these trajectories, henceforth, specifies the progression of the embedded signal subspace. To construct the signal subspace classifier, prototype elements in the form of the signal subspace models are determined for every signal class. A minimum-distance rule with a distance measure that resembles an energy difference function is subsequently applied in the actual classification task. Simulation of the proposed signal subspace classifier in an isolated digit speech recognition problem reveals promising results. (c) 2006 Elsevier B.V. All rights reserved. |
| first_indexed | 2025-11-14T18:09:19Z |
| format | Article |
| id | mmu-3088 |
| institution | Multimedia University |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T18:09:19Z |
| publishDate | 2007 |
| publisher | ELSEVIER SCIENCE BV |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-30882014-03-03T01:40:13Z http://shdl.mmu.edu.my/3088/ A signal subspace approach for speech modelling and classification TAN, A RAO, M DAYASAGAR, B T Technology (General) QA75.5-76.95 Electronic computers. Computer science In this paper, a speech classifier inspired by the signal subspace approach is developed. A novel signal subspace speech model is initially obtained via a rank reducing subspace decomposition algorithm that is based on the SVD. Motivated by the assumption that the speech signal comprises of short term dynamics that are slowly changing, it follows that the signal subspace of the speech signal is likewise slowly changing. The proposed signal subspace model aims to characterize the subspace dynamics using a family of subspace trajectories. In particular, each subspace trajectory is a sequence of vectors that traces the dynamics of a rank-one subspace in time. An assembly of these trajectories, henceforth, specifies the progression of the embedded signal subspace. To construct the signal subspace classifier, prototype elements in the form of the signal subspace models are determined for every signal class. A minimum-distance rule with a distance measure that resembles an energy difference function is subsequently applied in the actual classification task. Simulation of the proposed signal subspace classifier in an isolated digit speech recognition problem reveals promising results. (c) 2006 Elsevier B.V. All rights reserved. ELSEVIER SCIENCE BV 2007-03 Article NonPeerReviewed text en http://shdl.mmu.edu.my/3088/1/1110.pdf TAN, A and RAO, M and DAYASAGAR, B (2007) A signal subspace approach for speech modelling and classification. Signal Processing, 87 (3). pp. 500-508. ISSN 01651684 http://dx.doi.org/10.1016/j.sigpro.2006.06.008 doi:10.1016/j.sigpro.2006.06.008 doi:10.1016/j.sigpro.2006.06.008 |
| spellingShingle | T Technology (General) QA75.5-76.95 Electronic computers. Computer science TAN, A RAO, M DAYASAGAR, B A signal subspace approach for speech modelling and classification |
| title | A signal subspace approach for speech modelling and classification |
| title_full | A signal subspace approach for speech modelling and classification |
| title_fullStr | A signal subspace approach for speech modelling and classification |
| title_full_unstemmed | A signal subspace approach for speech modelling and classification |
| title_short | A signal subspace approach for speech modelling and classification |
| title_sort | signal subspace approach for speech modelling and classification |
| topic | T Technology (General) QA75.5-76.95 Electronic computers. Computer science |
| url | http://shdl.mmu.edu.my/3088/ http://shdl.mmu.edu.my/3088/ http://shdl.mmu.edu.my/3088/ http://shdl.mmu.edu.my/3088/1/1110.pdf |