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Emotion Recognition in Moroccan Arabic

This article explores speech emotion recognition (SER) for Moroccan Arabic (Darija) using deep learning. A dataset of 2,000 labeled audio samples across five emotions (happy, neutral, sad, angry, fearful) was collected from 80 speakers. Darija's linguistic diversity and regional variation pose challenges for emotion detection. After audio preprocessing
openaire   +1 more source

Moroccan Arabic in TV fiction: promoting de-localised individuals to model speakers

International Journal of the Sociology of Language, 2022
exaly  

The main functions of theophoric formulae in Moroccan Arabic

STUF - Language Typology and Universals, 2012
Stephan Prochàzka
exaly  

Moroccan Arabic in its wider linguistic and social contexts

STUF - Language Typology and Universals, 2012
Stephan Prochàzka
exaly  

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