Speech Recognition Oriented Vowel Classification Using Temporal Radial Basis Functions

Details Speech Recognition Oriented Vowel Classification Using Temporal Radial Basis Functions Speech Recognition Oriented Vowel Classification Using Temporal Radial Basis Functions

2009-12-19

arxiv.org/abs/0912.3917v1

Journal of Computing, Volume 1, Issue 1, pp 162-167, December 2009

Computer Science

Computation and Language

Scientific paper

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.

Affiliated with

Also associated with

No associations

Rating

Speech Recognition Oriented Vowel Classification Using Temporal Radial Basis Functions does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Speech Recognition Oriented Vowel Classification Using Temporal Radial Basis Functions, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Speech Recognition Oriented Vowel Classification Using Temporal Radial Basis Functions will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-382096