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| # config for high-resolution MFCC features, intended for neural network training.
| # Note: we keep all cepstra, so it has the same info as filterbank features,
| # but MFCC is more easily compressible (because less correlated) which is why
| # we prefer this method.
| --use-energy=false # use average of log energy, not energy.
| --sample-frequency=16000
| --num-mel-bins=40
| --num-ceps=40
| --low-freq=40
| --high-freq=-400
|
|
