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. |
| Related Works: | View |
Introduction
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.
Data
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.
Samples
Please listen to this audio sample.
Updates
None at this time.