On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation
Speaker recognition from speech signal is still an ongoing research in forensics and biometrics area. Speaker recognition is the process to enable machine to recognize speaker's identity from their speech. Recent development on classify speaker data from a group of speaker is still insufficient...
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| Format: | Article |
| Language: | English |
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Penerbit UTM Press
2008
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| Online Access: | http://eprints.utm.my/11021/ http://eprints.utm.my/11021/1/AbdulMananAhmad2008_OnTheImpactOfUsingOptimizationSearch.pdf |
| _version_ | 1848892237741555712 |
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| author | Ahmad, Abdul Manan Loh, Mun Yee |
| author_facet | Ahmad, Abdul Manan Loh, Mun Yee |
| author_sort | Ahmad, Abdul Manan |
| building | UTeM Institutional Repository |
| collection | Online Access |
| description | Speaker recognition from speech signal is still an ongoing research in forensics and biometrics area. Speaker recognition is the process to enable machine to recognize speaker's identity from their speech. Recent development on classify speaker data from a group of speaker is still insufficient to provide a satisfied result in achieving high performance pattern classification engine. There are two main difficulties in this field: how to maintain accuracy rate under incremental amounts of training data and how to reduce the time processing in the case embedded systems need to consider about efficient and simplicity of calculation. Recently we have proposed three difference hybrid pattern classification approach for text independent speaker identification system; in these approaches, we combined a hybrid GMMNQ and decision Tree model. The aim of this paper is to show the progress of the development of a high impact hybrid modeling. Besides, via this paper, an evaluation is done to verify the impact of using optimization search method on large speaker database. |
| first_indexed | 2025-11-15T21:10:40Z |
| format | Article |
| id | utm-11021 |
| institution | Universiti Teknologi Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T21:10:40Z |
| publishDate | 2008 |
| publisher | Penerbit UTM Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | utm-110212017-11-01T04:17:21Z http://eprints.utm.my/11021/ On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation Ahmad, Abdul Manan Loh, Mun Yee QA75 Electronic computers. Computer science Speaker recognition from speech signal is still an ongoing research in forensics and biometrics area. Speaker recognition is the process to enable machine to recognize speaker's identity from their speech. Recent development on classify speaker data from a group of speaker is still insufficient to provide a satisfied result in achieving high performance pattern classification engine. There are two main difficulties in this field: how to maintain accuracy rate under incremental amounts of training data and how to reduce the time processing in the case embedded systems need to consider about efficient and simplicity of calculation. Recently we have proposed three difference hybrid pattern classification approach for text independent speaker identification system; in these approaches, we combined a hybrid GMMNQ and decision Tree model. The aim of this paper is to show the progress of the development of a high impact hybrid modeling. Besides, via this paper, an evaluation is done to verify the impact of using optimization search method on large speaker database. Penerbit UTM Press 2008-12 Article PeerReviewed application/pdf en http://eprints.utm.my/11021/1/AbdulMananAhmad2008_OnTheImpactOfUsingOptimizationSearch.pdf Ahmad, Abdul Manan and Loh, Mun Yee (2008) On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation. Jurnal Teknologi Maklumat, 20 (3). pp. 158-172. ISSN 0128-3790 |
| spellingShingle | QA75 Electronic computers. Computer science Ahmad, Abdul Manan Loh, Mun Yee On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation |
| title | On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation |
| title_full | On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation |
| title_fullStr | On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation |
| title_full_unstemmed | On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation |
| title_short | On the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation |
| title_sort | on the impact of using optimization search method in large speaker database based on hybrid modeling over experimental investigation |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/11021/ http://eprints.utm.my/11021/1/AbdulMananAhmad2008_OnTheImpactOfUsingOptimizationSearch.pdf |