Moroccan Dialect Emotion Recognition Dataset is a collection of voice records of people speaking Moroccan dialect in 5 states of emotion: Neutral, Happy, Sad, Angry and Fearful. The dataset has been collected in different Moroccan cities in 2024. Each recorder has 5 records per emotion class. The dataset contains 2000 record. The records are saved in .wav format, which is useful for signal processing with python libraries. The dataset is used for signal processing and emotion recognition using deep Learning models.

Dataset Files

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[1] Mhamed-amine Soumiaa, "Moroccan Dialect Emotion Recognition Dataset", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/ev21-c430. Accessed: Dec. 08, 2024.
@data{ev21-c430-24,
doi = {10.21227/ev21-c430},
url = {http://dx.doi.org/10.21227/ev21-c430},
author = {Mhamed-amine Soumiaa },
publisher = {IEEE Dataport},
title = {Moroccan Dialect Emotion Recognition Dataset},
year = {2024} }
TY - DATA
T1 - Moroccan Dialect Emotion Recognition Dataset
AU - Mhamed-amine Soumiaa
PY - 2024
PB - IEEE Dataport
UR - 10.21227/ev21-c430
ER -
Mhamed-amine Soumiaa. (2024). Moroccan Dialect Emotion Recognition Dataset. IEEE Dataport. http://dx.doi.org/10.21227/ev21-c430
Mhamed-amine Soumiaa, 2024. Moroccan Dialect Emotion Recognition Dataset. Available at: http://dx.doi.org/10.21227/ev21-c430.
Mhamed-amine Soumiaa. (2024). "Moroccan Dialect Emotion Recognition Dataset." Web.
1. Mhamed-amine Soumiaa. Moroccan Dialect Emotion Recognition Dataset [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/ev21-c430
Mhamed-amine Soumiaa. "Moroccan Dialect Emotion Recognition Dataset." doi: 10.21227/ev21-c430