Shypd.aiThe largest open index of AI toolsemotion-recognition-using-speech is an open-source AI tool that builds and trains Speech Emotion Recognition systems. It predicts human emotions from speech using Python, Sci-kit learn, and Keras.
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emotion-recognition-using-speech is an open-source project designed for building and training Speech Emotion Recognition systems. This tool leverages Python, Sci-kit learn, and Keras to predict human emotions from speech, making it valuable for applications like product recommendations and affective computing. It supports 9 emotions, including neutral, happy, sad, angry, and fear. The system utilizes various feature extraction techniques from the librosa library, such as MFCC, Chromagram, and MEL Spectrogram. Users can train models with multiple datasets like RAVDESS, TESS, EMO-DB, and a custom dataset, and choose from a range of classifiers and regressors including SVC, RandomForestClassifier, MLPClassifier, and Recurrent Neural Networks. The repository also provides scripts for grid search optimization and testing with custom voice input.
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