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I want to build a speech emotion classifier and I labeled my data into 3 emotions {negative, neutral, positive} the speech files I have are different of length, thus my audio features (mfcc,zcr, etc.) are flexible in length I learned that lstm (RNN generally) are the kind of model that solves this kind of problem, but all the codes I found are implementing a CNN model or a CNN with LTSM

So here is my questions: According to the definition of my emotions what are the audio features I should use.? how we use cnn for speech emotion classifier? What kind of model I should use and why?

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