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Article

Automatic speech emotion recognition for arabic dialects: a new dataset and machine learning framework

Published in: Cluster Computing

Jan 01, 2026

Zineddine Sarhani Kahhoul Nadjiba Terki Habiba Dahmani Belkacem Athamena Zina Houhamdi Madina Hamiane

Automatic Speech Emotion Recognition (ASER) is a critical aspect of affective computing, which detects emotions in speech to facilitate efficient human-computer interaction. An area that has received little attention in previous research is the Algerian Arabic dialect, which is the setting in which this study examines ASER. We introduce a new corpus, Open Your Heart (OYH), which consists of roughly 6.3 hours of emotional spontaneous speech taken from a talk show on television. A wide variety of...


Article

Automatic speech emotion recognition for arabic dialects: a new dataset and machine learning framework

Published in: Cluster Computing

Jan 01, 2026

Zineddine Sarhani Kahhoul Nadjiba Terki Habiba Dahmani Belkacem Athamena Zina Houhamdi Madina Hamiane Mohammed Bourennane

Automatic Speech Emotion Recognition (ASER) is a critical aspect of affective computing, which detects emotions in speech to facilitate efficient human-computer interaction. An area that has received little attention in previous research is the Algerian Arabic dialect, which is the setting in which this study examines ASER. We introduce a new corpus, Open Your Heart (OYH), which consists of roughly 6.3 hours of emotional spontaneous speech taken from a talk show on television. A wide variety of...

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