The Mexican Emotional Speech Database (MESD): Elaboration and assessment based on machine learning Academic Article in Scopus uri icon

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. © 2021 IEEE.

publication date

  • January 1, 2021