@article{ref1,
title="The Mexican Emotional Speech Database (MESD): elaboration and assessment based on machine learning",
journal="Annual International Conference of the IEEE Engineering in Medicine and Biology Society.",
year="2021",
author="Duville, Mathilde M. and Alonso-Valerdi, Luz M. and Ibarra-Zarate, David I.",
volume="2021",
number="",
pages="1644-1647",
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.<p /> <p>Language: en</p>",
language="en",
issn="2375-7477",
doi="10.1109/EMBC46164.2021.9629934",
url="http://dx.doi.org/10.1109/EMBC46164.2021.9629934"
}