x4nth055/emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
This tool helps you automatically identify human emotions from spoken audio. You input recorded speech files, and it tells you whether the speaker sounds happy, sad, angry, neutral, or other emotions. This is useful for anyone analyzing customer service interactions, psychological research, or market research to understand emotional responses.
672 stars. No commits in the last 6 months.
Use this if you need to quickly and automatically classify the emotional tone of speech in audio recordings.
Not ideal if you need to analyze emotions from text, facial expressions, or highly nuanced emotional states beyond the predefined categories.
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672
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250
Language
Python
License
MIT
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Last pushed
Nov 03, 2023
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