Title :
Speaker identification using Bessel function representation and a back-propagation neural network
Author :
Gopalan, K. ; Anderson, T.R.
Author_Institution :
Dept. of Eng., Purdue Univ. Calumet, Hammond, IN, USA
Abstract :
This paper proposes a method of identifying speakers using a Bessel function expansion of speech and a backpropagation neural network. Selected coefficients in the first order Fourier-Bessel expansion series of speech are used as input to the neural network. Based on initial testing on a small set of speakers, the results show an increase in recognition accuracy as the number of coefficients is is increased
Keywords :
Bessel functions; Fourier series; backpropagation; neural nets; speaker recognition; Bessel function representation; backpropagation neural network; coefficients; first order Fourier-Bessel expansion series; recognition accuracy; speaker identification; speech recognition; Bandwidth; Frequency synthesizers; Intelligent networks; Laboratories; Multi-layer neural network; Neural networks; Signal synthesis; Speech processing; Speech synthesis; Testing;
Conference_Titel :
Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-7369-3
DOI :
10.1109/ISIE.1995.497026
