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A python implementation of isolated word recognition using Hidden Markov Model

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I run Isolated_SR.ipynb and there is nothing wrong. But the accuracy is only 25%

in Isolated_Speech_Recognition.py, StratifiedShuffleSplit was imported from sklearn.cross_validation, I just make changes and import StratifiedShuffleSplit from sklearn.model_selection, to remove DeprecationWarning, now I got the error: Traceback (most recent call last): File...

1. File "C:\Users\Kanika Bansalwal\AppData\Local\Programs\Python\Python36\newSR.py", line 449, in ps_test = [m.transform(observation) for m in ms] 2. File "C:\Users\Kanika Bansalwal\AppData\Local\Programs\Python\Python36\newSR.py", line 449, in ps_test = [m.transform(observation) for m in ms] 3. File...

There is no weights files under the path hmm/weights/