SERMixAR: Contrastive Multi-View Fusion for Robust Arabic Speech Emotion Recognition

Speech emotion recognition (SER) systems have a great problem in handling Arabic dialects because of the complexity of the language in question, variations of prosodies, and a lack of annotated data. Current methods mainly are single-view representations which do not reflect the complex nature of ex...

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Главные авторы:	Wided Bouchelligua, Reham Abdulaziz Al-Dayil
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2026-01-01
Серии:	IEEE Access
Предметы:	Speech emotion recognition multi-view fusion contrastive learning Arabic dialects affective computing deep learning
Online-ссылка:	https://ieeexplore.ieee.org/document/11366620/
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