Citation

Duville MM, Alonso-Valerdi LM, Ibarra-Zarate DI. Annu. Int. Conf. IEEE Eng. Med. Biol. Soc. 2021; 2021: 1644-1647.

Copyright

(Copyright © 2021, IEEE (Institute of Electrical and Electronics Engineers))

DOI

10.1109/EMBC46164.2021.9629934

PMID

34891601

Abstract

The Mexican Emotional Speech Database is presented along with the evaluation of its reliability based on machine learning analysis. The database contains 864 voice recordings with six different prosodies: anger, disgust, fear, happiness, neutral, and sadness. Furthermore, three voice categories are included: female adult, male adult, and child. The following emotion recognition was reached for each category: 89.4%, 93.9% and 83.3% accuracy on female, male and child voices, respectively.

Clinical Relevance - Mexican Emotional Speech Database is a contribution to healthcare emotional speech data and can be used to help objective diagnosis and disease characterization.

Language: en