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Speaker Recognition Method Combining FFT, Wavelet Functions And Neural Networks (CROSBI ID 507433)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Grubeša, Sanja ; Grubeša, Tomislav ; Domitrović, Hrvoje Speaker Recognition Method Combining FFT, Wavelet Functions And Neural Networks // The Proceedings of the AES 26th International Conference / Pritts, Roy (ur.). Denver (CO), 2005. str. 47-50-x

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

Povezanost rada

Elektrotehnika