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Kasdi-Merbah (University) Emotional Database in Arabic Speech

Domaine:

natural language processing

Type de record:

dataset
Créateur:
BelBenLak
Éditeur:
Lin
Hôte:avatar
Kasdi-Merbah Emotional Database in Arabic Speech (LDC2023S10) 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.

Visit

doi.orgcatalog.ldc.upenn.edu

Tasks

emotion identificationspeech processing

Languages

Tagargrent

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