Sound model for dialogue profiling
by D. López De Luise; R. Azor
International Journal of Advanced Intelligence Paradigms (IJAIP), Vol. 9, No. 5/6, 2017

Abstract: Zipfian behaviour has been defined as a way to predict word distributions in natural language for written texts. It keeps valid for any Language. This type of simple models opens a door for practical applications for understanding how the brain works and produce sentences and dialogues in a very efficient and robust way. Currently, many applications make profit of advances in understanding linguistics and psycholinguistics. But those advances have not a similar counterpart in speech and utterances modelling fields. This paper presents a fractal model for oral productions in Spanish. The results of the analysis show that samples from a sound library with Spanish voices can be assimilated to a specific fractal distribution. Disregarding which is the speaker, the trend keeps valid for every sample. This finding shows that also spoken language performs.

Online publication date: Mon, 27-Nov-2017

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 Advanced Intelligence Paradigms (IJAIP):
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