cloor/Speech-Emotion-Recognition-ROS
For Korean speech emotion detect, this model is trained by Korean dataset. There is no enough Korean dataset, so i tried to make this repo.
This tool helps analyze the emotional content of spoken Korean audio. It takes a Korean voice recording as input and identifies the speaker's emotion, classifying it as angry, neutral, sad, or happy. This could be used by researchers studying spoken communication or applications needing to understand sentiment from Korean speech.
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Use this if you need to automatically detect and classify emotions from short segments of spoken Korean.
Not ideal if you need to analyze emotions from text, other languages, or require highly nuanced emotional states beyond angry, neutral, sad, and happy.
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Jun 22, 2022
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