Text-dependent Speaker Recognition using Wavelets and Neural Networks
| العنوان: | Text-dependent Speaker Recognition using Wavelets and Neural Networks |
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| المؤلفون: | Chee Peng Lim, Siew Chan Woo |
| المصدر: | Soft Computing. 11:549-556 |
| بيانات النشر: | Springer Science and Business Media LLC, 2006. |
| سنة النشر: | 2006 |
| مصطلحات موضوعية: | Discrete wavelet transform, Artificial neural network, business.industry, Computer science, Speech recognition, Computational intelligence, Pattern recognition, Speaker recognition, Fuzzy logic, Theoretical Computer Science, Daubechies wavelet, Adaptive resonance theory, Wavelet, Geometry and Topology, Artificial intelligence, business, Software |
| الوصف: | An intelligent system for text-dependent speaker recognition is proposed in this paper. The system consists of a wavelet-based module as the feature extractor of speech signals and a neural-network-based module as the signal classifier. The Daubechies wavelet is employed to filter and compress the speech signals. The fuzzy ARTMAP (FAM) neural network is used to classify the processed signals. A series of experiments on text-dependent gender and speaker recognition are conducted to assess the effectiveness of the proposed system using a collection of vowel signals from 100 speakers. A variety of operating strategies for improving the FAM performance are examined and compared. The experimental results are analyzed and discussed. |
| تدمد: | 1433-7479 1432-7643 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::5922a2a0751007c0ab186932c291e668 https://doi.org/10.1007/s00500-006-0099-x |
| حقوق: | CLOSED |
| رقم الأكسشن: | edsair.doi...........5922a2a0751007c0ab186932c291e668 |
| قاعدة البيانات: | OpenAIRE |
Find this article in full text from Springer Verlag. | تدمد: | 14337479 14327643 |
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