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speech_tacotron2_export.py
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speech_tacotron2_export.py
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2019 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/>.
#
#
# generate filelists for tacotron-2 training
#
# https://github.com/NVIDIA/tacotron2
#
import sys
import os
import ConfigParser
import codecs
import logging
from optparse import OptionParser
from nltools import misc
from speech_transcripts import Transcripts
DEBUG_LIMIT = 0
# DEBUG_LIMIT = 4096
# DEBUG_LIMIT = 512
PROC_TITLE = 'speech_tacotron2_export'
MIN_QUALITY = 2
#
# init terminal
#
misc.init_app (PROC_TITLE)
#
# config
#
config = misc.load_config('.speechrc')
speech_corpora_dir = config.get("speech", "speech_corpora")
wav16_dir = config.get("speech", "wav16")
#
# command line
#
speech_corpora_available = []
for corpus in os.listdir(speech_corpora_dir):
if not os.path.isdir('%s/%s' % (speech_corpora_dir, corpus)):
continue
speech_corpora_available.append(corpus)
parser = OptionParser("usage: %%prog [options] <corpus> <speaker>\n corporus: one of %s" % ", ".join(speech_corpora_available))
parser.add_option ("-l", "--lang", dest="lang", type = "str", default="de",
help="language (default: de)")
parser.add_option ("-o", "--output-dir", dest="output_dir", type = "str", default="filelists",
help="output directory (default: filelists)")
parser.add_option("-v", "--verbose", action="store_true", dest="verbose",
help="enable debug output")
(options, args) = parser.parse_args()
if options.verbose:
logging.basicConfig(level=logging.DEBUG)
else:
logging.basicConfig(level=logging.INFO)
if len(args) != 2:
parser.print_help()
sys.exit(0)
corpus_name = args[0]
speaker = args[1]
lang = options.lang
misc.mkdirs(options.output_dir)
#
# main
#
logging.info ('reading transcripts from %s ...' % corpus_name)
transcripts = Transcripts(corpus_name=corpus_name)
trainfn = '%s/%s_train_filelist.txt' % (options.output_dir, speaker)
valfn = '%s/%s_val_filelist.txt' % (options.output_dir, speaker)
with codecs.open(valfn, 'w', 'utf8') as valf:
with codecs.open(trainfn, 'w', 'utf8') as trainf:
cnt = 0
for cfn in transcripts:
ts = transcripts[cfn]
if ts['quality'] < MIN_QUALITY:
continue
if ts['spk'] != speaker:
# logging.debug(ts['spk'])
continue
ts_orig = ts['ts']
wavfn = '%s/%s/%s.wav' % (wav16_dir, corpus_name, cfn)
if cnt % 100 == 0:
logging.info('%7d / %7d %-30s %s' % (cnt, len(transcripts), wavfn, ts_orig[:80]))
if cnt % 20 == 0:
valf.write('%s|%s\n' % (wavfn, ts_orig))
else:
trainf.write('%s|%s\n' % (wavfn, ts_orig))
cnt += 1
if DEBUG_LIMIT and cnt >= DEBUG_LIMIT:
logging.warn ('DEBUG LIMIT REACHED.')
break
logging.info('%s written.' % trainfn)
logging.info('%s written.' % valfn)