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When I tried to extract fbank features I found missing frequencies. So, I checked the filter bank in your code and found this:
I am curious about why remove values in 2nd and 6th rows? Is there any trick or that's a bug actually?
The text was updated successfully, but these errors were encountered:
This is because of rounding in the mel.filterbank calculation. Increase NFFT to fix it. In any case, it wont affect the accuracy of derived features to any significant degree.
Hi,
When I tried to extract fbank features I found missing frequencies. So, I checked the filter bank in your code and found this:
I am curious about why remove values in 2nd and 6th rows? Is there any trick or that's a bug actually?
The text was updated successfully, but these errors were encountered: