Sound model for dialogue profiling
Daniela López De Luise, R. Azor · International Journal of Advanced Intelligence Paradigms · 2017
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.