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The study presents a method to detect emotional states in real-time using audio data. It preprocesses the audio and trains a CNN to recognize emotions, achieving high accuracy. The system has potential applications in interactive systems and mental health monitoring, contributing to the development of emotionally intelligent technology.

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Deepak-Tetame/Human_Voice_Emotion_Detection_NLP

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The study presents a method to detect emotional states in real-time using audio data. It preprocesses the audio and trains a CNN to recognize emotions, achieving high accuracy. The system has potential applications in interactive systems and mental health monitoring, contributing to the development of emotionally intelligent technology.

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