vesis84/kaldi-io-for-python

Python functions for reading kaldi data formats. Useful for rapid prototyping with python.

kaldi-io-for-python

'Glue' code connecting kaldi data and python.

Supported data types

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

Examples

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)

Install

• from pypi:

pip install kaldi_io

• 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.

Unit tests

(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 .

License

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

Community

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