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