Moroccan Dialect Emotion Recognition Dataset

Citation Author(s):
Mhamed-amine
Soumiaa
ENSA Berrechid, Morocco
Submitted by:
Mhamed-amine Soumiaa
Last updated:
Mon, 07/15/2024 - 15:21
DOI:
10.21227/ev21-c430
Data Format:
zip; wav; xlsx
License:
Creative Commons Attribution
335 Views
Categories:
Artificial Intelligence
Signal Processing
Machine Learning
Keywords:
Sentiment Analysis;Signal Processing; Deep learning; Classification; Emotion Recognition; Linguistics; Arabic Dialect
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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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good

 

Submitted by ali zakibakhsh on Sun, 07/28/2024 - 16:01

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