jaesungbae / speech-command-recognition-with-capsule-network Goto Github PK

After I run the code:
python main.py --model='CNN' --ex_name='ref_2015is_cnn' --is_training='TRAIN' --model_size_info 21 8 94 1 1 2 3 6 4 94 1 1 1 1 32

Here's the result
cat KWS/save/CNN/ref_2015is_cnn_clean_clean/log.csv
epoch,acc,loss,val_acc,val_loss
0,0.0352528969621,3.3952801742,0.0347160929751,3.38853546625
1,0.0358401190103,3.39308315977,0.0347160929751,3.38782089975
2,0.0346265267773,3.39311181181,0.0347160929751,3.38773612234
3,0.0336673974319,3.39305867142,0.0338334804354,3.38793892052
4,0.0346265267773,3.39307627729,0.0385407472786,3.38806093325
5,0.0359967115565,3.39306007393,0.038687849374,3.38764988573
6,0.0349788600063,3.39303597402,0.0385407472786,3.3879062811
7,0.0343720638898,3.39304099634,0.0364813180479,3.38780447545
8,0.0352137488256,3.39308122203,0.0376581347455,3.38781898111
9,0.0341958972753,3.39309233033,0.036187113857,3.38771080178

Which is really confusing me, could u please give me some help?

Can this program run without noise? Because when the noise is clean, it always has an error.

running python feature_generation.py
"noise name: clean
save_path: /home/dsp/Desktop/fish/kws/SCR-CapsNet-master/speech_dataset/KWS_feature_saved
mode: fbank
['backward', 'bed', 'bird', 'cat', 'dog', 'down', 'eight', 'five', 'follow', 'forward', 'four', 'go', 'happy', 'house', 'learn', 'left', 'marvin', 'nine', 'no', 'off', 'on', 'one', 'right', 'seven', 'sheila', 'six', 'stop', 'three', 'tree', 'two', 'up', 'visual', 'wow', 'yes', 'zero']
Number of labels: 35
Processing in /home/dsp/Desktop/fish/kws/SCR-CapsNet-master/speech_dataset/Google_Speech_Command/backward
/usr/local/lib/python2.7/dist-packages/sklearn/preprocessing/data.py:193: UserWarning: Numerical issues were encountered when scaling the data and might not be solved. The standard deviation of the data is probably very close to 0.
warnings.warn("Numerical issues were encountered "
Traceback (most recent call last):
File "feature_generation.py", line 298, in
noise_name=noise_name, noiseSNR=noiseSNR)
File "feature_generation.py", line 234, in feature_generation
if label == 30: raise ValueError('wrong')
ValueError: wrong"
I don't know what happened.
Can you provide a detailed operating instructions if you are convenient?

thanks