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Official document that explains the implementation of the automatic annotator to classify voice segments according the intonation system of Cuba.

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automatic-annotator-thesis

It is about the implementation in Python of a tool to automatically classify speech segments that contemplate unitary phrases according to the typology of intonations established by the renowned Cuban intonology Dra.C. Raquel M. García Riverón for the Spanish spoken in Havana.

The solution is given with the use of Machine Learning, Wavelet Theory and Data Augmentation.

This is the official document that explains the problem source, the state art, the methodology, the resources and the solution.

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Official document that explains the implementation of the automatic annotator to classify voice segments according the intonation system of Cuba.

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