Category: ML

Representing speech for machine learning models,Spectrogram, MFCC . Feature extraction

Machine Learning is easy, at least, on a superficial level. You have some numerical array (maybe you call them tensors, because of high dimensionality, sometimes). Thats your input. Sometimes you throw away some features, if you have too many dimensions. Then you import some model from some library and just call model.fit(x_train, y_train) That’s it! Your…

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