| # 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 # low cutoff frequency for mel bins | |
| --high-freq=-200 # high cutoff frequently, relative to Nyquist of 4000 (=3800) | |