Kasdi-Merbah (University) Emotional Database in Arabic Speech

Item Name: Kasdi-Merbah (University) Emotional Database in Arabic Speech
Author(s): Mourad Belhadj, Ilham Bendellali, Elalia Lakhdari
LDC Catalog No.: LDC2023S10
ISLRN: 384-157-095-106-8
DOI: https://doi.org/10.35111/qqer-qz15
Release Date: December 15, 2023
Member Year(s): 2023
DCMI Type(s): Sound
Sample Type: pcm
Sample Rate: 44000
Data Source(s): microphone speech
Application(s): sentiment detection
Language(s): Arabic, Standard Arabic
Language ID(s): ara, arb
License(s): LDC User Agreement for Non-Members
Online Documentation: LDC2023S10 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Belhadj, Mourad, Ilham Bendellali, and Elalia Lakhdari. Kasdi-Merbah (University) Emotional Database in Arabic Speech LDC2023S10. Web Download. Philadelphia: Linguistic Data Consortium, 2023.
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Kasdi-Merbah Emotional Database in Arabic Speech was developed by the University of Kasdi Merbah Ouargla. The corpus contains two hours of Modern Standard Arabic prompted speech from 500 speakers (254 female, 246 male) representing 5,000 utterances.


Speech data was collected in 2022. Each speaker read ten sentences, with two sentences each for five different emotions (sadness, fear, anger, happiness, neutral). The sentences are included in the README file.

The audio data is presented as flac compressed, single channel, 44 kHz, 16-bit linear PCM.


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