I am try to normalize my features with this code:
from sklearn.preprocessing import MinMaxScaler
scaler = MinMaxScaler(feature_range=(0, 1))
X_normaliser= scaler.fit_transform(features_mfcc)
print(len(X_normaliser))
But I am getting this error:
could not broadcast input array from shape (13,160) into shape (13)
And the format of features_mfcc is:
[array([[-9.0505310e+02, -9.0509668e+02, -9.0453448e+02, ...,
-9.0509668e+02, -9.0509668e+02, -9.0465082e+02],
[ 6.1652310e-02, 0.0000000e+00, 7.9452515e-01, ...,
0.0000000e+00, 0.0000000e+00, 6.3048005e-01],
[ 6.1638385e-02, 0.0000000e+00, 7.9280442e-01, ...,
0.0000000e+00, 0.0000000e+00, 6.3033760e-01],
...,
[ 6.1193265e-02, 0.0000000e+00, 7.3878741e-01, ...,
0.0000000e+00, 0.0000000e+00, 6.2578565e-01],
[ 6.1096039e-02, 0.0000000e+00, 7.2723877e-01, ...,
0.0000000e+00, 0.0000000e+00, 6.2479138e-01],
[ 6.0989607e-02, 0.0000000e+00, 7.1469700e-01, ...,
0.0000000e+00, 0.0000000e+00, 6.2370300e-01]], dtype=float32), array([[-9.0509668e+02, -9.0509668e+02, -9.0509668e+02, ...,
-8.5759808e+02, -8.5833606e+02, -8.5879651e+02],
[ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
4.4959282e+01, 4.3793659e+01, 4.0313797e+01],
[ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
1.4145700e+01, 1.7536686e+01, 9.3698139e+00],
...,
[ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
1.4837956e+00, 1.4310437e+00, 6.0682583e+00],
[ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
-3.7497518e+00, -2.3724816e+00, 4.0706646e-01],
[ 0.0000000e+00, 0.0000000e+00, 0.0000000e+00, ...,
-2.3869281e+00, -1.9489181e+00, -1.6806124e+00]], dtype=float32), array([[-905.0967 , -905.0967 , -905.0967 , ..., -902.40015 ,
-901.81915 , -900.8688 ],
[ 0. , 0. , 0. , ..., 3.8109207,
4.632819 , 5.901035 ],
[ 0. , 0. , 0. , ..., 3.803548 ,
4.6260605, 5.6991043],
...,
[ 0. , 0. , 0. , ..., 3.5749695,
4.4136033, 3.6421943],
[ 0. , 0. , 0. , ..., 3.5268202,
4.368108 , 3.6132731],
[ 0. , 0. , 0. , ..., 3.4748278,
4.318678 , 3.6719213]], dtype=float32), array([[-9.0450629e+02, -9.0407922e+02, -9.0477014e+02, ...,
-8.9970392e+02, -9.0248578e+02, -9.0419568e+02],
[ 8.3469510e-01, 1.4383652e+00, 4.6172076e-01, ...,
5.6700068e+00, 2.9931142e+00, 1.2736886e+00],
[ 8.3379471e-01, 1.4369218e+00, 4.6155667e-01, ...,
2.2444835e+00, 1.8527040e+00, 1.2720714e+00],
...,
[ 8.0518466e-01, 1.3911897e+00, 4.5630401e-01, ...,
4.0884919e+00, 3.0479903e+00, 1.2209207e+00],
[ 7.9899836e-01, 1.3813030e+00, 4.5516133e-01, ...,
3.1457639e+00, 2.3051815e+00, 1.2098712e+00],
[ 7.9225874e-01, 1.3705225e+00, 4.5391160e-01, ...,
2.5792625e+00, 1.9462540e+00, 1.1978207e+00]], dtype=float32), array([[-9.0509668e+02, -9.0509668e+02, -9.0468939e+02, ...,
-9.0480646e+02, -9.0484973e+02, -9.0509668e+02],
[ 0.0000000e+00, 0.0000000e+00, 5.7561249e-01, ...,
4.1038188e-01, 3.4921879e-01, 0.0000000e+00],
[ 0.0000000e+00, 0.0000000e+00, 5.7488233e-01, ...,
4.1028821e-01, 3.4913990e-01, 0.0000000e+00],
...,
[ 0.0000000e+00, 0.0000000e+00, 5.5182308e-01, ...,
4.0732536e-01, 3.4661859e-01, 0.0000000e+00],
[ 0.0000000e+00, 0.0000000e+00, 5.4684269e-01, ...,
4.0667912e-01, 3.4606788e-01, 0.0000000e+00],
[ 0.0000000e+00, 0.0000000e+00, 5.4140812e-01, ...,
4.0596974e-01, 3.4546313e-01, 0.0000000e+00]], dtype=float32)]
Can someone help me here?