AnkushMalaker/speech-emotion-recognition
Implementation of the paper "Speech emotion recognition with deep convolutional neural networks" by Dias Issa Et al.
This project helps you automatically detect emotions from spoken audio. It takes raw sound files as input and tells you what emotions are expressed in the speech. This would be useful for researchers studying vocal expressions, data scientists building affective computing systems, or anyone analyzing emotional content in audio recordings.
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Use this if you need to classify emotions like happiness, sadness, or anger directly from audio recordings using a pre-trained model or by training your own.
Not ideal if you need to process datasets other than RAVDESS without writing custom code for data loading and labeling.
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Dec 18, 2021
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