11 lines
670 B
Plaintext
11 lines
670 B
Plaintext
# config for high-resolution MFCC features, intended for neural network training
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# Note: we keep all cepstra, so it has the same info as filterbank features,
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# but MFCC is more easily compressible (because less correlated) which is why
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# we prefer this method.
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--use-energy=false # use average of log energy, not energy.
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--num-mel-bins=40 # similar to Google's setup.
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--num-ceps=40 # there is no dimensionality reduction.
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--low-freq=20 # low cutoff frequency for mel bins... this is high-bandwidth data, so
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# there might be some information at the low end.
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--high-freq=-400 # high cutoff frequently, relative to Nyquist of 8000 (=7600)
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