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Showing content from https://github.com/vesis84/kaldi-io-for-python below:

KarelVesely84/kaldi-io-for-python: Python functions for reading kaldi data formats. Useful for rapid prototyping with python.

'Glue' code connecting kaldi data and python.

vector (integer)
Vector (float, double)
Matrix (float, double)
Posterior (posteriors, nnet1 training targets, confusion networks, ...)

Reading feature scp example:

import kaldi_io
for key,mat in kaldi_io.read_mat_scp(file):
  ...

Writing feature ark to file/stream:

import kaldi_io
with open(ark_file,'wb') as f:
  for key,mat in dict.iteritems():
    kaldi_io.write_mat(f, mat, key=key)

Writing features as 'ark,scp' by pipeline with 'copy-feats':

import kaldi_io
ark_scp_output='ark:| copy-feats --compress=true ark:- ark,scp:data/feats2.ark,data/feats2.scp'
with kaldi_io.open_or_fd(ark_scp_output,'wb') as f:
  for key,mat in dict.iteritems():
    kaldi_io.write_mat(f, mat, key=key)

from pypi:

from sources:

git clone https://github.com/vesis84/kaldi-io-for-python.git <kaldi-io-dir>`
pip install -r requirements.txt
pip install --editable .

Note: it is recommended to set export KALDI_ROOT=<some_kaldi_dir> environment variable. The I/O based on pipes can then contain kaldi binaries.

(note: these are not included in pypi package)

Unit tests are started this way:

./run_tests.sh

or by:

python3 -m unittest discover -s tests -t . python2 -m unittest discover -s tests -t .

Apache License, Version 2.0 ('LICENSE-2.0.txt')

accepting pull requests with extensions on GitHub
accepting feedback via GitHub 'Issues' in the repo

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