Can I read Speech Recognition Oriented Vowel Classification Using Temporal Radial Basis Functions on EtoBox?

Speech Recognition Oriented Vowel Classification Using Temporal Radial Basis Functions by Guezouri, Mustapha; Mesbahi, Larbi; Benyettou, Abdelkader is a scholarly article available to read on EtoBox.

What is Speech Recognition Oriented Vowel Classification Using Temporal Radial Basis Functions about?

The recent resurgence of interest in spatio-temporal neural network as speech recognition tool motivates the present investigation. In this paper an approach was developed based on temporal radial basis function "TRBF" looking to many advantages: few parameters, speed convergence and time invariance. This application aims to identify vowels taken from natural speech samples from the Timit corpus of American speech. We report a recognition accuracy of 98.06 percent in training and 90.13 in test on a subset of 6 vowel phonemes, with the possibility to expend the vowel sets in future.

Author

Guezouri, Mustapha; Mesbahi, Larbi; Benyettou, Abdelkader

Published

2009

Language

EN