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Hi. I want to change dataset and recognize in korean.
I use librosa mel-spectro as extraction features. It shows below.
I didn't modify model parameters and train parameters. But model predicts same class almost one class when i gave some samples.
Below, When i gave sample by using torch.randn, results
It was almost just 2 classes. Is there problems at preprocessing audio file(e.g. mfcc, mel spectro) or models?
anybody knows?
The text was updated successfully, but these errors were encountered:
Hi. I want to change dataset and recognize in korean.
I use librosa mel-spectro as extraction features. It shows below.
I didn't modify model parameters and train parameters. But model predicts same class almost one class when i gave some samples.
Below, When i gave sample by using torch.randn, results
It was almost just 2 classes. Is there problems at preprocessing audio file(e.g. mfcc, mel spectro) or models?
anybody knows?
The text was updated successfully, but these errors were encountered: