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insikt - Speech Analysis
SEGAA: A Unified Approach to Predicting Age, Gender, and Emotion in Speech
Deep learning models like SEGAA efficiently predict age, gender, and emotion from speech data.
Predicting Age, Gender, and Emotion in Speech: SEGAA Approach
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.
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