MiteshPuthran/Speech-Emotion-Analyzer
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
This project helps businesses understand customer sentiment during calls or interactions. It takes audio speech as input and tells you if the speaker (male or female) is angry, calm, fearful, happy, or sad. Call center managers, marketers, or even product developers could use this to gauge emotional responses.
1,403 stars. No commits in the last 6 months.
Use this if you need to automatically detect and categorize basic human emotions from spoken audio to better personalize experiences or understand user reactions.
Not ideal if you need to detect a wider range of nuanced emotions, require extremely high accuracy for critical applications, or need to process non-English speech.
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MIT
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Last pushed
Feb 07, 2023
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