Speaker Recognition Method Combining FFT, Wavelet Functions And Neural Networks (CROSBI ID 507433)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Grubeša, Sanja ; Grubeša, Tomislav ; Domitrović, Hrvoje
engleski
Speaker Recognition Method Combining FFT, Wavelet Functions And Neural Networks
The method of speaker recognition based on wavelet functions and neural networks is presented in this paper. The wavelet functions are used to obtain the approximation function and the details of the speaker’ s averaged spectrum in order to extract speaker’ s voice characteristics from the frequency spectrum. The approximation function and the details are then used as input data for decision-making neural networks. In this recognition process, not only the decision on the speaker’ s identity is made, but also the probability that the decision is correct can be provided.
speaker recognition; neural networks; wavelet functions
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Podaci o prilogu
47-50-x.
2005.
objavljeno
Podaci o matičnoj publikaciji
The Proceedings of the AES 26th International Conference
Pritts, Roy
Denver (CO):
Podaci o skupu
AES 26th International Conference, Audio Forensics in the Digital Age
predavanje
07.07.2005-09.07.2005
Denver (CO), Sjedinjene Američke Države