A WAVELET NEURAL NETWORK RAMWORK FOR SPEAKER IDNTIFCATION
| Autor: | W. A. Mahmoud, Dhiadeen.M. Salih, Saleem M-R. Taha |
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| Jazyk: | angličtina |
| Rok vydání: | 2006 |
| Předmět: | |
| Zdroj: | Journal of Engineering, Vol 12, Iss 01 (2006) |
| Druh dokumentu: | article |
| ISSN: | 1726-4073 2520-3339 |
| DOI: | 10.31026/j.eng.2006.01.17 |
| Popis: | This paper introduces a new model-free identification methodology to detect and identify speakers and recognize them. The basic module of the methodology is a novel multi-dimensional wavelet neural network. The WNN approach include: a universal approximator; the time frequency localization: property of wavelets leads to reduced networks at a given level of performance; The construct used as the feature mode classifier. Wavelet transform has been successfully applied to the processing of non- stationary speech signal and the feature vector that obtained becomes the input to the wavelet neural network which is trained off-line to map features to used for the classification procedure. An example is employed to illustrate the robustness and effectiveness of the proposed scheme |
| Databáze: | Directory of Open Access Journals |
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