purnima99/EmotionDetection
Emotion Detection in Audio Files - Speech & Songs. A deep learning model that detects 8 different kinds of emotions - neutral, calm, happy, sad, angry, fearful, disgust and surprised in any user-uploaded audio file.
This tool helps you understand the emotional content within audio recordings, whether they are speech or songs. You upload an audio file, and the system tells you which of eight emotions (neutral, calm, happy, sad, angry, fearful, disgust, or surprised) is present. This is ideal for researchers, content creators, or anyone needing to quickly identify emotions in spoken or sung audio.
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Use this if you need to automatically detect the dominant emotion from a human voice in an audio file.
Not ideal if you need to analyze emotions in non-English audio or require detection of nuanced emotional states beyond the eight predefined categories.
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23
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6
Language
Python
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Last pushed
Apr 03, 2022
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