nipunmanral / spoken-language-identification Goto Github PK

english_mfcc = np.array([]).reshape(0, num_mfcc_features)
for file in glob.glob(codePath + 'english/*.npy'):

at this line you used .npy what this mean can u share it and tell how u created it.

I am trying to make a simple api where people can give an input speech and gets the output language identification class as result.
I created a dataset where all the samples are of length: 10 sec. So the model will be trained on 10 sec long samples.
What happens when at test time someone gives an audio smaller or greater then 10 seconds?

i am getting error could please tell me how correct it
ValueError Traceback (most recent call last)
in ()
93 del list_mandarin_mfcc
94
---> 95 X_train, X_val, Y_train, Y_val = train_test_split(X_train, Y_train, test_size=0.2)
96
97 with h5py.File("mfcc_dataset.hdf5", 'w') as hf:

2 frames
/usr/local/lib/python3.7/dist-packages/sklearn/utils/validation.py in check_consistent_length(*arrays)
210 if len(uniques) > 1:
211 raise ValueError("Found input variables with inconsistent numbers of"
--> 212 " samples: %r" % [int(l) for l in lengths])
213
214