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speech_kaldi_adapt.py
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speech_kaldi_adapt.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2016, 2017, 2018 Guenter Bartsch
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
#
# adapt an existing kaldi model to a dict and language model
#
import os
import sys
import logging
import readline
import atexit
import traceback
from optparse import OptionParser
from StringIO import StringIO
from nltools import misc
from nltools.tokenizer import tokenize
from nltools.phonetics import ipa2xsampa
from speech_lexicon import Lexicon
from speech_transcripts import Transcripts
#
# init
#
misc.init_app ('speech_kaldi_adapt')
config = misc.load_config ('.speechrc')
#
# commandline parsing
#
parser = OptionParser("usage: %prog [options] src_model_dir dict (lm.arpa|G.src.fst|grammar.jsgf) dst_model")
parser.add_option ("-v", "--verbose", action="store_true", dest="verbose",
help="enable verbose logging")
(options, args) = parser.parse_args()
if options.verbose:
logging.basicConfig(level=logging.DEBUG)
else:
logging.basicConfig(level=logging.INFO)
if len(args) != 4:
parser.print_usage()
sys.exit(1)
src_model = args[0]
dict_name = args[1]
lm_name = args[2]
dst_model = args[3]
dst_dir = 'data/dst/asr-models/kaldi/%s' % dst_model
#
# config
#
kaldi_root = config.get("speech", "kaldi_root")
#
# load lexicon, transcripts
#
logging.info("loading lexicon...")
lex = Lexicon(file_name=dict_name)
logging.info("loading lexicon...done.")
#
# cleanup leftovers from previous runs
#
cmd = 'rm -rf %s' % dst_dir
logging.info(cmd)
os.system(cmd)
#
# dictionary export
#
misc.mkdirs('%s/data/local/dict' % dst_dir)
dictfn2 = '%s/data/local/dict/lexicon.txt' % dst_dir
logging.info ( "Exporting dictionary..." )
ps = {}
with open (dictfn2, 'w') as dictf:
dictf.write('!SIL SIL\n')
for token in sorted(lex):
multi = lex.get_multi(token)
for form in multi:
ipa = multi[form]['ipa']
xsr = ipa2xsampa (token, ipa, spaces=True)
xs = xsr.replace('-','').replace('\' ', '\'').replace(' ', ' ').replace('#', 'nC')
dictf.write((u'%s %s\n' % (token, xs)).encode('utf8'))
for p in xs.split(' '):
if len(p)<1:
logging.error ( u"****ERROR: empty phoneme in : '%s' ('%s', ipa: '%s', token: '%s')" % (xs, xsr, ipa, token) )
pws = p[1:] if p[0] == '\'' else p
if not pws in ps:
ps[pws] = set([p])
else:
ps[pws].add(p)
logging.info ( "%s written." % dictfn2 )
logging.info ( "Exporting dictionary ... done." )
#
# copy phoneme sets from original model
#
misc.copy_file ('%s/data/local/dict/nonsilence_phones.txt' % src_model, '%s/data/local/dict/nonsilence_phones.txt' % dst_dir)
misc.copy_file ('%s/data/local/dict/silence_phones.txt' % src_model, '%s/data/local/dict/silence_phones.txt' % dst_dir)
misc.copy_file ('%s/data/local/dict/optional_silence.txt' % src_model, '%s/data/local/dict/optional_silence.txt' % dst_dir)
misc.copy_file ('%s/data/local/dict/extra_questions.txt' % src_model, '%s/data/local/dict/extra_questions.txt' % dst_dir)
#
# language model / grammar
#
if lm_name.endswith('arpa'):
misc.copy_file (lm_name, '%s/lm.arpa' % dst_dir)
elif lm_name.endswith('jsgf'):
misc.copy_file (lm_name, '%s/G.jsgf' % dst_dir)
else:
misc.copy_file (lm_name, '%s/G.src.fst' % dst_dir)
#
# create skeleton dst model
#
misc.mkdirs ('%s/exp/adapt' % dst_dir)
misc.copy_file ('%s/model/final.mdl' % src_model, '%s/exp/adapt/final.mdl' % dst_dir)
misc.copy_file ('%s/model/cmvn_opts' % src_model, '%s/exp/adapt/cmvn_opts' % dst_dir)
misc.copy_file ('%s/model/tree' % src_model, '%s/exp/adapt/tree' % dst_dir)
for optional_file in [ 'final.mat', 'splice_opts', 'final.occs', 'full.mat' ] :
if os.path.exists('%s/model/%s' % (src_model, optional_file)):
misc.copy_file ('%s/model/%s' % (src_model, optional_file), '%s/exp/adapt/%s' % (dst_dir, optional_file))
if os.path.exists('%s/extractor' % src_model):
misc.mkdirs ('%s/exp/extractor' % dst_dir)
misc.copy_file ('%s/extractor/final.mat' % src_model, '%s/exp/extractor/final.mat' % dst_dir)
misc.copy_file ('%s/extractor/global_cmvn.stats' % src_model, '%s/exp/extractor/global_cmvn.stats' % dst_dir)
misc.copy_file ('%s/extractor/final.dubm' % src_model, '%s/exp/extractor/final.dubm' % dst_dir)
misc.copy_file ('%s/extractor/final.ie' % src_model, '%s/exp/extractor/final.ie' % dst_dir)
misc.copy_file ('%s/extractor/splice_opts' % src_model, '%s/exp/extractor/splice_opts' % dst_dir)
misc.mkdirs ('%s/exp/ivectors_test_hires/conf' % dst_dir)
misc.copy_file ('%s/ivectors_test_hires/conf/ivector_extractor.conf' % src_model, '%s/exp/ivectors_test_hires/conf' % dst_dir)
misc.copy_file ('%s/ivectors_test_hires/conf/online_cmvn.conf' % src_model, '%s/exp/ivectors_test_hires/conf' % dst_dir)
misc.copy_file ('%s/ivectors_test_hires/conf/splice.conf' % src_model, '%s/exp/ivectors_test_hires/conf' % dst_dir)
misc.mkdirs ('%s/conf' % dst_dir)
misc.copy_file ('%s/conf/mfcc.conf' % src_model, '%s/conf/mfcc.conf' % dst_dir)
misc.copy_file ('%s/conf/mfcc_hires.conf' % src_model, '%s/conf/mfcc_hires.conf' % dst_dir)
misc.copy_file ('%s/conf/online_cmvn.conf' % src_model, '%s/conf/online_cmvn.conf' % dst_dir)
#
# copy scripts and config files
#
misc.copy_file ('data/src/speech/kaldi-run-adaptation.sh', '%s/run-adaptation.sh' % dst_dir)
misc.copy_file ('data/src/speech/kaldi-cmd.sh', '%s/cmd.sh' % dst_dir)
misc.render_template ('data/src/speech/kaldi-path.sh.template', '%s/path.sh' % dst_dir, kaldi_root=kaldi_root)
misc.symlink ('%s/egs/wsj/s5/steps' % kaldi_root, '%s/steps' % dst_dir)
misc.symlink ('%s/egs/wsj/s5/utils' % kaldi_root, '%s/utils' % dst_dir)
#
# main
#
logging.info ( "All done." )