Malay speaker recognition system based on discrete HMM
This paper presents the design and implementation of Malay speaker recognition system using discrete hidden Markov model (HMM) as the classifier. A series of speaker recognition experiments was performed using 99 speakers (13 clients and 86 imposters) recording database consisting of isolated digit...
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| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | en |
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IEEE
2005
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| Subjects: | |
| Online Access: | http://eprints.utm.my/1769/1/Amar05_Malay_Speaker_Recognition.pdf http://eprints.utm.my/1769/ https://dx.doi.org/10.1109/CCSP.2005.4977209 |
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| _version_ | 1845470538058694656 |
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| author | Ariff, Ahmad Kamarul Mohd. Alwi, Mohd. Alwi Salleh, Sh-Hussain |
| author_facet | Ariff, Ahmad Kamarul Mohd. Alwi, Mohd. Alwi Salleh, Sh-Hussain |
| author_sort | Ariff, Ahmad Kamarul |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | This paper presents the design and implementation of Malay speaker recognition system using discrete hidden Markov model (HMM) as the classifier. A series of speaker recognition experiments was performed using 99 speakers (13 clients and 86 imposters) recording database consisting of isolated digit utterances. For a seven digit long sequence, 0.96% EER was achieved. |
| format | Conference or Workshop Item |
| id | my.utm.eprints-1769 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2005 |
| publisher | IEEE |
| record_format | eprints |
| spelling | my.utm.eprints-17692017-08-28T01:31:34Z http://eprints.utm.my/1769/ Malay speaker recognition system based on discrete HMM Ariff, Ahmad Kamarul Mohd. Alwi, Mohd. Alwi Salleh, Sh-Hussain TK Electrical engineering. Electronics Nuclear engineering This paper presents the design and implementation of Malay speaker recognition system using discrete hidden Markov model (HMM) as the classifier. A series of speaker recognition experiments was performed using 99 speakers (13 clients and 86 imposters) recording database consisting of isolated digit utterances. For a seven digit long sequence, 0.96% EER was achieved. IEEE 2005-11-14 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/1769/1/Amar05_Malay_Speaker_Recognition.pdf Ariff, Ahmad Kamarul and Mohd. Alwi, Mohd. Alwi and Salleh, Sh-Hussain (2005) Malay speaker recognition system based on discrete HMM. In: Proceeding of 1st Conference on Computers, Communication, and Signal Processing, 14-16 November 2005, Kuala Lumpur. https://dx.doi.org/10.1109/CCSP.2005.4977209 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Ariff, Ahmad Kamarul Mohd. Alwi, Mohd. Alwi Salleh, Sh-Hussain Malay speaker recognition system based on discrete HMM |
| title | Malay speaker recognition system based on discrete HMM |
| title_full | Malay speaker recognition system based on discrete HMM |
| title_fullStr | Malay speaker recognition system based on discrete HMM |
| title_full_unstemmed | Malay speaker recognition system based on discrete HMM |
| title_short | Malay speaker recognition system based on discrete HMM |
| title_sort | malay speaker recognition system based on discrete hmm |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| url | http://eprints.utm.my/1769/1/Amar05_Malay_Speaker_Recognition.pdf http://eprints.utm.my/1769/ https://dx.doi.org/10.1109/CCSP.2005.4977209 |
| url_provider | http://eprints.utm.my/ |