forked from gooofy/zamia-speech
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathspeech_kaldi_adapt.py
executable file
·212 lines (151 loc) · 6.36 KB
/
speech_kaldi_adapt.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
#!/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):
ipa = lex[token]['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." )