Abstract
This paper presents an automatic gender recognition technique based on speaker's voice. Utterances spoken by same-gender speakers were used to train a text-independent hidden Markov gender model. female and male models are continous hidden Markov models. Experiments on the TI-46 database containing 46 words spoken by 8 female and 8 male speakers showed an acceptable recognition rate.
| Original language | English |
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| Title of host publication | Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing (ICECS '03) |
| Editors | Nikos Mastorakis |
| Place of Publication | Singapore |
| Publisher | WSEAS Transactions |
| Pages | 1-5 |
| Number of pages | 5 |
| ISBN (Print) | 960-8052-91-2 |
| Publication status | Published - 2003 |
| Event | 2nd WSEAS International Conference - , Singapore Duration: 7 Dec 2003 → 9 Dec 2003 |
Conference
| Conference | 2nd WSEAS International Conference |
|---|---|
| Country/Territory | Singapore |
| Period | 7/12/03 → 9/12/03 |