Theoretical proposal for algorithm selection of vocal intonation based on correlation and similarity

Abstract

This paper shows a theoretical model to select a voice intonation from one previously established database, this database contains information from the text-to-speech conversion systems. The purpose is to create the theoretical and functional model to find the intonation pattern for interrogative sentences. The applied methodology is based on the evaluation of the correlation between the grammatical structure of the input text and the grammatical structure of sentences in the database, applying a structured model for compilers implementation