IliaZenkov/transformer-cnn-emotion-recognition
Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between
This project helps classify emotions from speech. It takes audio recordings as input and identifies one of eight emotions, such as happiness, sadness, or anger. This would be used by researchers in psychology, human-computer interaction, or anyone analyzing emotional content in spoken language.
266 stars. No commits in the last 6 months.
Use this if you need to automatically detect and classify emotional states from spoken audio clips.
Not ideal if you need real-time emotion detection in live conversations or fine-grained emotional nuances beyond eight basic categories.
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266
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Jupyter Notebook
License
MIT
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Last pushed
Nov 06, 2020
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