Audio-textual multi-label demographic recognition of Arabic speakers using deep learning
Sadam Al-Azani,
Ridha Almeshari,
El-Sayed El-Alfy
Abstract:Speaker demographic recognition and segmentation analytics play a key role in offering personalized experiences across different automated industries and businesses. This paper aims at developing a multi-label demographic recognition system for Arabic speakers from audio and associated textual modalities. The system can detect age groups, genders, and dialects, but it can be easily extended to incorporate more demographic traits. The proposed method is based on deep learning for feature learning and recognitio… Show more
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