Moroccan Dialect Emotion Recognition Dataset
- Citation Author(s):
-
Mhamed-amine Soumiaa
(ENSA Berrechid, Morocco)
- Submitted by:
- Mhamed-amine Soumiaa
- Last updated:
- DOI:
- 10.21227/ev21-c430
- Data Format:
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Abstract
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.
Instructions:
The zip file contains 2 folders: one for male record, second for female records and .xslx file containing information about the dataset (labeling, recorder’s age, signal length, statistics and speech sentences). The records are labeled using this nomenclature “rc N _ G C N’ “, with rc for record, N for the recorder number (from 0 to 39), G for the gender, C for the class of the emotion (n,h,s,a,f), N’ for the record number (from 0 to 4).
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