Some simple wrappers around kaldi-asr intended to make using kaldi's (online, nnet3, chain) decoders as convenient as possible.
Target audience are developers who would like to use kaldi-asr as-is for speech recognition in their application on GNU/Linux operating systems.
Constructive comments, patches and pull-requests are very welcome.
Simple wav file decoding:
from kaldiasr.nnet3 import KaldiNNet3OnlineModel, KaldiNNet3OnlineDecoder
MODELDIR = 'data/models/kaldi-nnet3-voxforge-de-r20161117'
MODEL = 'nnet_tdnn_a'
WAVFILE = 'data/single.wav'
model = KaldiNNet3OnlineModel (MODELDIR, MODEL)
decoder = KaldiNNet3OnlineDecoder (model)
if decoder.decode_wav_file(WAVFILE):
print '%s decoding worked!' % model
s, l = decoder.get_decoded_string()
print
print "*****************************************************************"
print "**", s
print "** %s likelihood:" % model, l
print "*****************************************************************"
print
else:
print '%s decoding did not work :(' % model
Please check the examples directory for more example code.
- Python 2.7 or 3.5
- NumPy
- Cython
- kaldi-asr 5.2
At the time of this writing kaldi-asr does not seem to have an official way to install it on a system.
So, for now we will rely on pkg-config to provide LIBS and CFLAGS for compilation:
Create a file called kaldi-asr.pc
somewhere in your PKG_CONFIG_PATH
that provides
this information:
kaldi_root=/opt/kaldi
Name: kaldi-asr
Description: kaldi-asr speech recognition toolkit
Version: 5.2
Requires: atlas
Libs: -L${kaldi_root}/tools/openfst/lib -L${kaldi_root}/src/lib -lkaldi-decoder -lkaldi-lat -lkaldi-fstext -lkaldi-hmm -lkaldi-feat -lkaldi-transform -lkaldi-gmm -lkaldi-tree -lkaldi-util -lkaldi-matrix -lkaldi-base -lkaldi-nnet3 -lkaldi-online2 -lkaldi-cudamatrix -lkaldi-ivector -lfst
Cflags: -I${kaldi_root}/src -I${kaldi_root}/tools/openfst/include
make sure kaldi_root
points to wherever your kaldi checkout lives in your filesystem.
If you happen to run RHEL or CentOS 7 on x86_64 or armv7hl (Raspberry Pi 3) and would like to install just the kaldi-asr libraries and headers, you can use my (totally unoffical) kaldi-asr RPMs which you can download here:
http://goofy.zamia.org/rpms/kaldi-asr-5.2/
My own code is Apache licensed unless otherwise noted in the script's copyright headers.
Some scripts and files are based on works of others, in those cases it is my intention to keep the original license intact. Please make sure to check the copyright headers inside for more information.
Guenter Bartsch [email protected] Kaldi 5.1 adaptation contributed by mariasmo https://github.com/mariasmo