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JaesungBae / Speech-Command-Recognition-with-Capsule-Network

Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.
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Questions about running the program #1

Open XiaoyuGuo123 opened 5 years ago

XiaoyuGuo123 commented 5 years ago

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

JaesungBae commented 5 years ago

Hi, As I know you could also train and test the code only with clean data. In training, I didn't use the noise data.

The error you got is because I only used the labels in Google Speech Command dataset, which are converted into int type in the 'text_to_label' function, and you have other labels such as 'backward' or 'visual', etc.

I think you could add your additional labels to 'text_to_label' function, remove the assertion and run the code. However, since I didn't test the code by adding other labels, so other error could occur.

Thanks.

XiaoyuGuo123 commented 5 years ago

thanks

zfy1416 commented 3 years ago

I want to ask a quest about a function----du.pick_mis_recognized I can't find it in the data_utils.py I want to know how can I get it. thanks

zfy1416 commented 3 years ago

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

Can u reply my question that i query author? thanks