157 lines
4.1 KiB
Python
157 lines
4.1 KiB
Python
# Copyright 2016 Mycroft AI, Inc.
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#
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# This file is part of Mycroft Core.
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#
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# Mycroft Core is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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#
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# Mycroft Core is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with Mycroft Core. If not, see <http://www.gnu.org/licenses/>.
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import subprocess
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import os
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import os.path
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from time import time, sleep
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import unicodedata
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from mycroft import MYCROFT_ROOT_PATH
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from mycroft.configuration import ConfigurationManager
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from mycroft.tts import TTS, TTSValidator
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import mycroft.util
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from mycroft.util.log import LOG
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__author__ = 'jdorleans', 'spenrod'
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config = ConfigurationManager.get().get("tts").get("mimic")
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BIN = config.get("path", os.path.join(MYCROFT_ROOT_PATH, 'mimic', 'bin',
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'mimic'))
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if not os.path.isfile(BIN):
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# Search for mimic on the path
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import distutils.spawn
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BIN = distutils.spawn.find_executable("mimic")
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class Mimic(TTS):
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def __init__(self, lang, voice):
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super(Mimic, self).__init__(lang, voice, MimicValidator(self))
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self.init_args()
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self.clear_cache()
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self.type = 'wav'
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def init_args(self):
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self.args = [BIN, '-voice', self.voice, '-psdur']
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stretch = config.get('duration_stretch', None)
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if stretch:
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self.args += ['--setf', 'duration_stretch=' + stretch]
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def get_tts(self, sentence, wav_file):
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# Generate WAV and phonemes
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phonemes = subprocess.check_output(self.args + ['-o', wav_file,
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'-t', sentence])
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return wav_file, phonemes
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def visime(self, output):
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visimes = []
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start = time()
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pairs = output.split(" ")
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for pair in pairs:
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pho_dur = pair.split(":") # phoneme:duration
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if len(pho_dur) == 2:
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visimes.append((VISIMES.get(pho_dur[0], '4'),
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float(pho_dur[1])))
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return visimes
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class MimicValidator(TTSValidator):
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def __init__(self, tts):
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super(MimicValidator, self).__init__(tts)
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def validate_lang(self):
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# TODO: Verify version of mimic can handle the requested language
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pass
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def validate_connection(self):
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try:
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subprocess.call([BIN, '--version'])
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except:
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LOG.info("Failed to find mimic at: " + BIN)
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raise Exception(
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'Mimic was not found. Run install-mimic.sh to install it.')
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def get_tts_class(self):
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return Mimic
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# Mapping based on Jeffers phoneme to viseme map, seen in table 1 from:
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# http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.221.6377&rep=rep1&type=pdf
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#
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# Mycroft unit visemes based on images found at:
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# http://www.web3.lu/wp-content/uploads/2014/09/visemes.jpg
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#
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# Mapping was created partially based on the "12 mouth shapes visuals seen at:
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# https://wolfpaulus.com/journal/software/lipsynchronization/
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VISIMES = {
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# /A group
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'v': '5',
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'f': '5',
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# /B group
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'uh': '2',
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'w': '2',
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'uw': '2',
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'er': '2',
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'r': '2',
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'ow': '2',
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# /C group
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'b': '4',
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'p': '4',
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'm': '4',
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# /D group
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'aw': '1',
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# /E group
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'th': '3',
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'dh': '3',
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# /F group
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'zh': '3',
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'ch': '3',
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'sh': '3',
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'jh': '3',
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# /G group
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'oy': '6',
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'ao': '6',
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# /Hgroup
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'z': '3',
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's': '3',
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# /I group
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'ae': '0',
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'eh': '0',
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'ey': '0',
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'ah': '0',
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'ih': '0',
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'y': '0',
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'iy': '0',
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'aa': '0',
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'ay': '0',
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'ax': '0',
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'hh': '0',
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# /J group
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'n': '3',
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't': '3',
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'd': '3',
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'l': '3',
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# /K group
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'g': '3',
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'ng': '3',
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'k': '3',
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# blank mouth
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'pau': '4',
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}
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