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:
python -m pip --user install kaldi_io - from sources:
git clone https://github.com/vesis84/kaldi-io-for-python.git <kaldi-io-dir>python setup.py install(default python)
- for local development use:
export PYTHONPATH=${PYTHONPATH}:<kaldi-io-dir>in$HOME/.bashrc
Note: it is recommended to set $KALDI_ROOT in your $HOME/.bashrc as
export KALDI_ROOT=<some_kaldi_dir>, so you can read/write using
pipes which contain kaldi binaries.
License
Apache License, Version 2.0 ('LICENSE-2.0.txt')
Contact
- If you have an extension to share, please create a pull request.
- For feedback and suggestions, please create a GitHub 'Issue' in the project.
- For the positive reactions =) I am also reachable by email: vesis84@gmail.com