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@ -1,7 +1,7 @@
# kaldifeat # kaldifeat
Feature extraction compatible with kaldi using PyTorch, supporting Feature extraction compatible with `Kaldi` using PyTorch, supporting
CUDA, batch process, and autograd. CUDA, batch processing, chunk processing, and autograd.
# Usage # Usage
@ -32,14 +32,15 @@ wave = wave.squeeze()
opts = kaldifeat.FbankOptions() opts = kaldifeat.FbankOptions()
opts.frame_opts.dither = 0 opts.frame_opts.dither = 0
# Yes, it has same options like kaldi # Yes, it has same options like `Kaldi`
fbank = kaldifeat.Fbank(opts) fbank = kaldifeat.Fbank(opts)
features = fbank(wave) features = fbank(wave)
``` ```
To compute features that are compatible with kaldi, you can scale To compute features that are compatible with `Kaldi`, wave samples have to be
the wave samples to the range `[-32768, 32768]`. scaled to the range `[-32768, 32768]`. WARNING: You don't have to do this if
you don't care about the compatibility with `Kaldi`
The following is an example: The following is an example:
@ -81,7 +82,7 @@ The output is:
13.94753 19.94101 25.4494 24.90511 17.00044 13.92074 11.66673 11.82172 10.34108 10.72575 10.09829 9.810879 9.676199 9.421767 9.124647 8.774353 9.086291 8.74897 8.469534 8.670973 8.772754 8.740549 8.982433 13.94753 19.94101 25.4494 24.90511 17.00044 13.92074 11.66673 11.82172 10.34108 10.72575 10.09829 9.810879 9.676199 9.421767 9.124647 8.774353 9.086291 8.74897 8.469534 8.670973 8.772754 8.740549 8.982433
``` ```
You can see that ``kaldifeat`` produces the same output as kaldi (within some tolerance due to numerical computation). You can see that ``kaldifeat`` produces the same output as `Kaldi` (within some tolerance due to numerical computation).
**HINT**: Download [test_scp][test_scp] and [test_txt][test_txt]. **HINT**: Download [test_scp][test_scp] and [test_txt][test_txt].
@ -114,7 +115,7 @@ for more examples.
**HINT**: In the examples, you can find that **HINT**: In the examples, you can find that
- ``kaldifeat`` supports batch processing as well as chunk processing - ``kaldifeat`` supports batch processing as well as chunk processing
- ``kaldifeat`` uses the same options as kaldi's `compute-fbank-feats` and `compute-mfcc-feats` - ``kaldifeat`` uses the same options as `Kaldi`'s `compute-fbank-feats` and `compute-mfcc-feats`
# Installation # Installation