
Deep learning models like SEGAA efficiently predict age, gender, and emotion from speech data.


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SEGAA: A Unified Approach to Predicting Age, Gender, and Emotion in Speech


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The author introduces the SEGAA model as a novel approach to predicting age, gender, and emotion simultaneously from speech data, highlighting the flaws in individual models and advocating for multi-output learning architecture.


Predicting-Age-Gender-and-Emotion-in-Speech-SEGAA-Approach


Predicting Age, Gender, and Emotion in Speech: SEGAA Approach
