300 lines
8.8 KiB
Python
300 lines
8.8 KiB
Python
# Copyright 2017 Mycroft AI Inc.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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"""Mimic TTS, a local TTS backend.
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This Backend uses the mimic executable to render text into speech.
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"""
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import os
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import os.path
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from os.path import exists, join, expanduser
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import stat
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import subprocess
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from threading import Thread
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from time import sleep
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from mycroft import MYCROFT_ROOT_PATH
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from mycroft.api import DeviceApi
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from mycroft.configuration import Configuration
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from mycroft.util.download import download
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from mycroft.util.log import LOG
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from .tts import TTS, TTSValidator
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def get_mimic_binary():
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"""Find the mimic binary, either from config or from PATH.
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Returns:
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(str) path of mimic executable
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"""
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config = Configuration.get().get("tts", {}).get("mimic")
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bin_ = config.get("path",
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os.path.join(MYCROFT_ROOT_PATH, 'mimic', 'bin', '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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return bin_
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def get_subscriber_voices():
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"""Get dict of mimic voices exclusive to subscribers.
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Returns:
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(dict) map of voices to custom Mimic executables.
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"""
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data_dir = expanduser(Configuration.get()['data_dir'])
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return {'trinity': join(data_dir, 'voices/mimic_tn')}
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def download_subscriber_voices(selected_voice):
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"""Function to download all premium voices.
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The function starts with the currently selected if applicable
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"""
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subscriber_voices = get_subscriber_voices()
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def make_executable(dest):
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"""Call back function to make the downloaded file executable."""
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LOG.info('Make executable new voice binary executable')
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# make executable
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file_stat = os.stat(dest)
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os.chmod(dest, file_stat.st_mode | stat.S_IEXEC)
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# First download the selected voice if needed
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voice_file = subscriber_voices.get(selected_voice)
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if voice_file is not None and not exists(voice_file):
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LOG.info('Voice doesn\'t exist, downloading')
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url = DeviceApi().get_subscriber_voice_url(selected_voice)
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# Check we got an url
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if url:
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dl_status = download(url, voice_file, make_executable)
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# Wait for completion
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while not dl_status.done:
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sleep(1)
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else:
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LOG.debug('{} is not available for this architecture'
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.format(selected_voice))
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# Download the rest of the subsciber voices as needed
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for voice in subscriber_voices:
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voice_file = subscriber_voices[voice]
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if not exists(voice_file):
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url = DeviceApi().get_subscriber_voice_url(voice)
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# Check we got an url
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if url:
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dl_status = download(url, voice_file, make_executable)
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# Wait for completion
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while not dl_status.done:
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sleep(1)
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else:
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LOG.debug('{} is not available for this architecture'
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.format(voice))
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def parse_phonemes(phonemes):
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"""Parse mimic phoneme string into a list of phone, duration pairs.
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Arguments
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phonemes (bytes): phoneme output from mimic
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Returns:
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(list) list of phoneme duration pairs
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"""
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phon_str = phonemes.decode()
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pairs = phon_str.split(' ')
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return [pair.split(':') for pair in pairs if ':' in pair]
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class Mimic(TTS):
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"""TTS interface for local mimic v1."""
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def __init__(self, lang, config):
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super(Mimic, self).__init__(
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lang, config, MimicValidator(self), 'wav',
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ssml_tags=["speak", "ssml", "phoneme", "voice", "audio", "prosody"]
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)
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self.default_binary = get_mimic_binary()
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self.clear_cache()
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# Download subscriber voices if needed
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self.subscriber_voices = get_subscriber_voices()
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self.is_subscriber = DeviceApi().is_subscriber
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if self.is_subscriber:
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trd = Thread(target=download_subscriber_voices, args=[self.voice])
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trd.daemon = True
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trd.start()
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def modify_tag(self, tag):
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"""Modify the SSML to suite Mimic."""
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ssml_conversions = {
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'x-slow': '0.4',
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'slow': '0.7',
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'medium': '1.0',
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'high': '1.3',
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'x-high': '1.6',
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'speed': 'rate'
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}
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for key, value in ssml_conversions.items():
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tag = tag.replace(key, value)
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return tag
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@property
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def args(self):
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"""Build mimic arguments."""
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subscriber_voices = self.subscriber_voices
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if (self.voice in subscriber_voices and
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exists(subscriber_voices[self.voice]) and self.is_subscriber):
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# Use subscriber voice
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mimic_bin = subscriber_voices[self.voice]
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voice = self.voice
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elif self.voice in subscriber_voices:
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# Premium voice but bin doesn't exist, use ap while downloading
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mimic_bin = self.default_binary
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voice = 'ap'
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else:
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# Normal case use normal binary and selected voice
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mimic_bin = self.default_binary
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voice = self.voice
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args = [mimic_bin, '-voice', voice, '-psdur', '-ssml']
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stretch = self.config.get('duration_stretch', None)
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if stretch:
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args += ['--setf', 'duration_stretch={}'.format(stretch)]
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return args
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def get_tts(self, sentence, wav_file):
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"""Generate WAV and phonemes.
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Args:
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sentence (str): sentence to generate audio for
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wav_file (str): output file
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Returns:
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tuple ((str) file location, (str) generated phonemes)
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"""
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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, parse_phonemes(phonemes)
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def viseme(self, phoneme_pairs):
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"""Convert phoneme string to visemes.
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Args:
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phoneme_pairs (list): Phoneme output from mimic
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Returns:
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(list) list of tuples of viseme and duration
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"""
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visemes = []
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for phon, dur in phoneme_pairs:
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visemes.append((VISIMES.get(phon, '4'), float(dur)))
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return visemes
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class MimicValidator(TTSValidator):
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"""Validator class checking that Mimic can be used."""
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def validate_lang(self):
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"""Verify that the language is supported."""
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# TODO: Verify version of mimic can handle the requested language
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def validate_connection(self):
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"""Check that Mimic executable is found and works."""
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mimic_bin = get_mimic_binary()
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try:
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subprocess.call([mimic_bin, '--version'])
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except Exception as err:
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if mimic_bin:
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LOG.error('Failed to find mimic at: {}'.format(mimic_bin))
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else:
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LOG.error('Mimic executable not found')
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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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from err
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def get_tts_class(self):
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"""Return the TTS class associated with the validator."""
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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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