TY  - JOUR
PY  - 2021//
TI  - The Mexican Emotional Speech Database (MESD): elaboration and assessment based on machine learning
JO  - Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
A1  - Duville, Mathilde M.
A1  - Alonso-Valerdi, Luz M.
A1  - Ibarra-Zarate, David I.
SP  - 1644
EP  - 1647
VL  - 2021
IS  - 
N2  - 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>
LA  - en
SN  - 2375-7477
UR  - http://dx.doi.org/10.1109/EMBC46164.2021.9629934
ID  - ref1
ER  -