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The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

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Just looking at the code makes no sense...please share the data.

Hey could you supply the requirements.txt file for the package versions you used in this project thanks very much.

This paper doesn't make any sence because you are taking average of 13mfcc features which is quite absurd as you it is ridiculous we actually have to mean for all...

Could you pls tell me how mfcc is working and how u r getting the output for mfcc

can you share your data set?

Hello, I am running [final_results_gender_test.ipynb](https://github.com/MITESHPUTHRANNEU/Speech-Emotion-Analyzer/commits/master/final_results_gender_test.ipynb) on Amazon JupiterLab; line ``` mylist= os.listdir('RawData/') ``` gives error ``` FileNotFoundError: [Errno 2] No such file or directory: 'RawData/' ``` How is this RawData...

from keras.utils import np_utils from sklearn.preprocessing import LabelEncoder X_train = np.array(trainfeatures) y_train = np.array(trainlabel) X_test = np.array(testfeatures) y_test = np.array(testlabel) lb = LabelEncoder() y_train = np_utils.to_categorical(lb.fit_transform(y_train)) y_test = np_utils.to_categorical(lb.fit_transform(y_test))

The current label splits are not stratified. This could cause issues with not all labels being present in the train or test set, which gives errors when training the model....

dear i would like to request for step by step procedure to run your model Regards, Ganesh