Add Mimic 2 TTS
* added asynchronous request to mimic2 backend to break up audio into chunks * add chracter threshold * refactored split_by_punctuation * add punctuation function to sentence chunks * fix spelling * some more spelling * added mimic2 in mycroftconf * removed unused importspull/1694/head
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17aab53fae
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1ab9ae3889
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@ -233,6 +233,11 @@
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"mimic": {
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"voice": "ap"
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},
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"mimic2": {
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"lang": "en-us",
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"api_path": "",
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"url": ""
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},
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"espeak": {
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"lang": "english-us",
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"voice": "m1"
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@ -437,9 +437,11 @@ class TTSFactory(object):
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from mycroft.tts.bing_tts import BingTTS
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from mycroft.tts.ibm_tts import WatsonTTS
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from mycroft.tts.responsive_voice_tts import ResponsiveVoice
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from mycroft.tts.mimic2_tts import Mimic2
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CLASSES = {
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"mimic": Mimic,
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"mimic2": Mimic2,
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"google": GoogleTTS,
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"marytts": MaryTTS,
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"fatts": FATTS,
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@ -0,0 +1,238 @@
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# 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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from mycroft.tts import TTSValidator
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from mycroft.tts.remote_tts import RemoteTTS
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from mycroft.util.log import LOG
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from mycroft.util import play_wav
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from requests_futures.sessions import FuturesSession
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from urllib import parse
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import math
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def break_chunks(l, n):
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"""Yield successive n-sized chunks from l."""
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for i in range(0, len(l), n):
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yield " ".join(l[i:i + n])
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def split_by_chunk_size(text, chunk_size):
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"""split text into word chunks by chunk_size size
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Args:
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text (str): text to split
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chunk_size (int): chunk size
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Returns:
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list: list of text chunks
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"""
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text_list = text.split()
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if len(text_list) <= chunk_size:
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return [text]
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if chunk_size < len(text_list) < (chunk_size * 2):
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return list(break_chunks(
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text_list,
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int(math.ceil(len(text_list) / 2))
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))
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elif (chunk_size * 2) < len(text_list) < (chunk_size * 3):
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return list(break_chunks(
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text_list,
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int(math.ceil(len(text_list) / 3))
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))
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elif (chunk_size * 3) < len(text_list) < (chunk_size * 4):
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return list(break_chunks(
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text_list,
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int(math.ceil(len(text_list) / 4))
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))
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else:
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return list(break_chunks(
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text_list,
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int(math.ceil(len(text_list) / 5))
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))
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def split_by_punctuation(text, chunk_size):
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"""split text by punctuations
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i.e "hello, world" -> ["hello", "world"]
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Args:
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text (str): text to split
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chunk_size (int): size of each chunk
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Returns:
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list: list of sentence chunk
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"""
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punctuations = [',', '.', '-', '?', '!', ':', ';']
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text_list = text.split()
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splits = None
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if len(text_list) >= chunk_size:
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for punc in punctuations:
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if punc in text:
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splits = text.split(punc)
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break
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# TODO: check if splits are to small, combined them
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return splits
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def add_punctuation(text):
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"""add punctuation at the end of each chunk. Mimic2
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expects a form of punctuation
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"""
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punctuations = ['.', '?', '!']
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if len(text) < 1:
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return text
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if len(text) < 10:
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if text[-1] in punctuations:
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if text[-1] != ".":
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return text[:-1] + "."
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if text[-1] not in punctuations:
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text += '.'
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return text
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def sentence_chunker(text, chunk_size, split_by_punc=True):
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"""split sentences into chunks. if split_by_punc is True,
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sentences will be split into chunks by punctuations first
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then those chunks will be split by chunk size
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Args:
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text (str): text to split
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chunk_size (int): size of each chunk
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split_by_punc (bool, optional): Defaults to True.
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Returns:
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list: list of text chunks
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"""
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text_list = text.split()
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# if initial text is 1.3 times chunk size, no need to split
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# if the chracter count is less then 55
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if len(text_list) <= chunk_size * 1.3:
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if len(text) < 55:
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return [text]
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# split text by punctuations if split_by_punc set to true
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punc_splits = None
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if split_by_punc:
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punc_splits = split_by_punctuation(text, chunk_size)
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# split text by chunk size
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chunks = []
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if punc_splits:
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for sentence in punc_splits:
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sentence = sentence.strip()
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chunks += split_by_chunk_size(sentence, chunk_size)
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# split text by chunk size
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else:
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chunks += split_by_chunk_size(text, chunk_size)
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chunks = [add_punctuation(chunk) for chunk in chunks]
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return chunks
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class Mimic2(RemoteTTS):
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PARAMS = {'accept': 'audio/wav'}
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def __init__(self, lang, config):
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super(Mimic2, self).__init__(
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lang, config, config['url'],
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config['api_path'], Mimic2Validator(self)
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)
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self.session = FuturesSession()
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chunk_size = config.get('chunk_size')
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self.chunk_size = \
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chunk_size if chunk_size is not None else 10
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def _save(self, data):
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"""saves .wav files in tmp
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Args:
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data (byes): wav data
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"""
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with open(self.filename, 'wb') as f:
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f.write(data)
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def _play(self, req):
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"""play wav file after saving to tmp
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Args:
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req (object): requests object
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"""
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if req.status_code == 200:
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self._save(req.content)
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play_wav(self.filename).communicate()
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else:
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LOG.error(
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'%s Http Error: %s for url: %s' %
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(req.status_code, req.reason, req.url))
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def build_request_params(self, sentence):
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"""RemoteTTS expects this method as abc.abstractmethod"""
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pass
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def _requests(self, chunks):
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"""create asynchronous request list
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Args:
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chunks (list): list of text to synthesize
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Returns:
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list: list of FutureSession objects
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"""
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reqs = []
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for chunk in chunks:
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req_route = \
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self.url + self.api_path + parse.quote(chunk)
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reqs.append(self.session.get(req_route))
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return reqs
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def execute(self, sentence, ident=None):
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"""request and play mimic2 wav audio
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Args:
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sentence (str): sentence to synthesize from mimic2
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ident (optional): Defaults to None.
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"""
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chunks = sentence_chunker(sentence, self.chunk_size)
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for req in self._requests(chunks):
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try:
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res = req.result()
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self.begin_audio()
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self._play(res)
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except Exception as e:
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LOG.error(e)
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finally:
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self.end_audio()
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class Mimic2Validator(TTSValidator):
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def __init__(self, tts):
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super(Mimic2Validator, self).__init__(tts)
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def validate_lang(self):
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# TODO
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pass
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def validate_connection(self):
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# TODO
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pass
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def get_tts_class(self):
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return Mimic2
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