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Tree-based Gaussian mixture models for speaker verification
Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005.
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Stellenbosch : University of Stellenbosch
2006
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| _version_ | 1867613800809627648 |
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| access_status_str | Open Access |
| author | Cilliers, Francois Dirk |
| author2 | Du Preez, J. A. |
| author_browse | Cilliers, Francois Dirk Du Preez, J. A. |
| author_facet | Du Preez, J. A. Cilliers, Francois Dirk |
| author_sort | Cilliers, Francois Dirk |
| collection | Thesis |
| dc_rights_str_mv | University of Stellenbosch |
| description | Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005. |
| format | Thesis |
| id | oai:scholar.sun.ac.za:10019.1/1639 |
| institution | Stellenbosch University (South Africa) |
| language | English |
| last_indexed | 2026-06-10T12:41:54.752Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from SUNScholar — Stellenbosch University Repository |
| publishDate | 2006 |
| publishDateRange | 2006 |
| publishDateSort | 2006 |
| publisher | Stellenbosch : University of Stellenbosch |
| publisherStr | Stellenbosch : University of Stellenbosch |
| record_format | dspace |
| source_str | SUNScholar — Stellenbosch University Repository |
| spelling | oai:scholar.sun.ac.za:10019.1/1639 Tree-based Gaussian mixture models for speaker verification Cilliers, Francois Dirk Du Preez, J. A. University of Stellenbosch. Faculty of Engineering. Dept. of Electrical and Electronic Engineering. Dissertations -- Electronic engineering Theses -- Electronic engineering Automatic speech recognition Speech processing systems Electrical and Electronic Engineering Thesis (MScEng (Electrical and Electronic Engineering))--University of Stellenbosch, 2005. The Gaussian mixture model (GMM) performs very effectively in applications such as speech and speaker recognition. However, evaluation speed is greatly reduced when the GMM has a large number of mixture components. Various techniques improve the evaluation speed by reducing the number of required Gaussian evaluations. 2006-11-01T08:25:54Z 2010-06-01T08:29:18Z 2006-11-01T08:25:54Z 2010-06-01T08:29:18Z 2005-12 Thesis http://hdl.handle.net/10019.1/1639 en University of Stellenbosch 1024437 bytes application/pdf application/pdf Stellenbosch : University of Stellenbosch |
| spellingShingle | Dissertations -- Electronic engineering Theses -- Electronic engineering Automatic speech recognition Speech processing systems Electrical and Electronic Engineering Cilliers, Francois Dirk Tree-based Gaussian mixture models for speaker verification |
| title | Tree-based Gaussian mixture models for speaker verification |
| title_full | Tree-based Gaussian mixture models for speaker verification |
| title_fullStr | Tree-based Gaussian mixture models for speaker verification |
| title_full_unstemmed | Tree-based Gaussian mixture models for speaker verification |
| title_short | Tree-based Gaussian mixture models for speaker verification |
| title_sort | tree based gaussian mixture models for speaker verification |
| topic | Dissertations -- Electronic engineering Theses -- Electronic engineering Automatic speech recognition Speech processing systems Electrical and Electronic Engineering |
| url | http://hdl.handle.net/10019.1/1639 |
| work_keys_str_mv | AT cilliersfrancoisdirk treebasedgaussianmixturemodelsforspeakerverification |