Title :
A neural network approach to formant estimation
Author :
Zhu, X.-Y. ; Cahill, L.W.
Author_Institution :
Dept. of Electron Eng., La Trobe Univ., Bundoora, Vic., Australia
Abstract :
A neural network with two hidden layers is designed to estimate formant frequencies from linear predictive coding (LPC) coefficients. The formant estimation model reflects the nonlinear relationship between formants and LPC coefficients. Experiments of formant estimation on vowels and diphthongs are described and discussed. The results indicate that the neural network approach is a reliable formant estimation method
Keywords :
linear predictive coding; neural nets; speech recognition; diphthongs; formant estimation; hidden layers; linear predictive coding; neural network; vowels; Artificial neural networks; Cepstral analysis; Design engineering; Electrodes; Frequency estimation; Linear predictive coding; Marine vehicles; Neural networks; Resonance; Speech;
Conference_Titel :
TENCON '92. ''Technology Enabling Tomorrow : Computers, Communications and Automation towards the 21st Century.' 1992 IEEE Region 10 International Conference.
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-0849-2
DOI :
10.1109/TENCON.1992.272007
