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...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
IEEE
2005
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| Subjects: | |
| Online Access: | http://eprints.utm.my/1769/ http://eprints.utm.my/1769/1/Amar05_Malay_Speaker_Recognition.pdf |
| Summary: | 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. |
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