Wavelet-probabilistic neural network-based intelligent system approach for spoken Hindi paired word classification
by Dinesh Kumar Rajoriya, R.S. Anand, R.P. Maheshwari
International Journal of Innovative Computing and Applications (IJICA), Vol. 3, No. 3, 2011

Abstract: This paper has proposed an idea to develop a speech controlled authenticated voice enabled system based on hybrid approach consisting of wavelet and probabilistic neural network (PNN) techniques. This hybrid approach is endeavoured for spoken paired word classification that is conceived of as an integral part of a speaker dependent intelligent system. Five hundred templates of spoken Hindi (Indian national language) paired word (SHPW) have been used for experimental validation of the proposed approach. The SHPW signal attributes are extracted by wavelet technique and classification/recognition has been examined with the help of PNN. Correct classification rate of proposed speaker dependent SHPW intelligent system is found to be 100% on considered database.

Online publication date: Sat, 21-Mar-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Innovative Computing and Applications (IJICA):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com