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Predicting emotions based on speech audio samples of American English, German and British English languages using Support Vector Machine, K-Nearest Neighbor, Random Forest and Recurrent Neural Network...

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Traceback (most recent call last): File "D:/Projects/Audio/Emotion/Emotion-Detection-in-Speech/Emotion Detection in Speech/Emotion Detection in Speech.py", line 51, in aT.featureAndTrain(['angry', 'calm', 'disgust', 'fearful', AttributeError: module 'pyAudioAnalysis.audioTrainTest' has no attribute 'featureAndTrain' Process finished with...

Hi, I am getting an accuracy lower than you have gotten until now. I am getting only 62% in the MLP classifier and 69% on the KNN trained on R_B_S...

I am using actor speech data which contains around 1500 audio files. But whenever i am extracting features from the data, I am getting only 990 rows. And model accuracy...

Nice work! From where can I download all these datasets?