artificial-styletts2 / engineer_foreign_style_vectors.py
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mimic3 prompt scripts
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# create foreign style vectors - to use for english StyleTTS2
# It may crash due to non-truly-blocking shutil.copyfile() saying onnx protobuf incomplete file
# You have to rerun the script - it will copy all voices from hf:mimic3-voices to ~/.local/mimic3
from pathlib import Path
import shutil
import csv
import io
import os
import typing
import wave
import sys
from mimic3_tts.__main__ import (CommandLineInterfaceState,
get_args,
initialize_args,
initialize_tts,
# print_voices,
# process_lines,
shutdown_tts,
OutputNaming,
process_line)
import time
ROOT_DIR = '/data/dkounadis/mimic3-voices/'
foreign_voices = []
for lang in os.listdir(ROOT_DIR + 'voices'):
if 'en_' not in lang:
for voice in os.listdir(ROOT_DIR + 'voices/' + lang):
# print('______\n', voice)
try:
with open(ROOT_DIR + 'voices/' + lang + '/' + voice + '/speakers.txt', 'r') as f:
foreign_voices += [lang + '/' + voice + '#' + spk.rstrip() for spk in f]
except FileNotFoundError:
# spk = None # siwis_low [has no speakers]
foreign_voices.append(lang + '/' + voice)
# print(spk)
# print(os.listdir(ROOT_DIR + 'voices/' + lang + '/' + voice))
# --- Now we have all speakers per voices -- so can we call mimic3 on those perhaps with copyfile
# print(foreign_voices, len(foreign_voices))
# ----------------------
# print(foreign_voices.keys(), len(foreign_voices))
# raise SystemExit
def process_lines(state: CommandLineInterfaceState, wav_path=None):
'''MIMIC3 INTERNAL CALL that yields the sigh sound'''
args = state.args
result_idx = 0
print(f'why waitings in the for loop LIN {state.texts=}\n')
for line in state.texts:
# print(f'LIN {line=}\n') # prints \n so is empty not getting the predifne text of state.texts
line_voice: typing.Optional[str] = None
line_id = ""
line = line.strip()
# if not line:
# continue
if args.output_naming == OutputNaming.ID:
# Line has the format id|text instead of just text
with io.StringIO(line) as line_io:
reader = csv.reader(line_io, delimiter=args.csv_delimiter)
row = next(reader)
line_id, line = row[0], row[-1]
if args.csv_voice:
line_voice = row[1]
process_line(line, state, line_id=line_id, line_voice=line_voice)
result_idx += 1
time.sleep(4)
# Write combined audio to stdout
if state.all_audio:
# _LOGGER.debug("Writing WAV audio to stdout")
if sys.stdout.isatty() and (not state.args.stdout):
with io.BytesIO() as wav_io:
wav_file_play: wave.Wave_write = wave.open(wav_io, "wb")
with wav_file_play:
wav_file_play.setframerate(state.sample_rate_hz)
wav_file_play.setsampwidth(state.sample_width_bytes)
wav_file_play.setnchannels(state.num_channels)
wav_file_play.writeframes(state.all_audio)
# play_wav_bytes(state.args, wav_io.getvalue())
# wav_path = '_direct_call_2.wav'
with open(wav_path, 'wb') as wav_file:
wav_file.write(wav_io.getvalue())
wav_file.seek(0)
print('\n\nTTSING', wav_path)
else:
print('\n\nDOES NOT TTSING --> ADD SOME time.sleep(4)', wav_path)
# -----------------------------------------------------------------------------
# cat _tmp_ssml.txt | mimic3 --cuda --ssml --noise-w 0.90001 --length-scale 0.91 --noise-scale 0.04 > noise_w=0.90_en_happy_2.wav
# ======================================================================
reference_wav_directory = 'style_vectors_speed1_ICASSP/' #out_dir # + '/wavs/style_vector_v2/'
Path(reference_wav_directory).mkdir(parents=True, exist_ok=True)
wav_dir = 'assets/wavs/'
Path(wav_dir).mkdir(parents=True, exist_ok=True)
for _id, _voice in enumerate(foreign_voices):
# Mimic3 GitHub Quota exceded:
# https://github.com/MycroftAI/mimic3-voices
# Above repo can exceed download quota of LFS
# Copy mimic-voices from local copies
# clone https://huggingface.co/mukowaty/mimic3-voices/tree/main/voices
# copy to ~/
#
#
home_voice_dir = f'/home/audeering.local/dkounadis/.local/share/mycroft/mimic3/voices/{_voice.split("#")[0]}/'
Path(home_voice_dir).mkdir(parents=True, exist_ok=True)
speaker_free_voice_name = _voice.split("#")[0] if '#' in _voice else _voice
if (
(not os.path.isfile(home_voice_dir + 'generator.onnx')) or
(os.path.getsize(home_voice_dir + 'generator.onnx') < 500) # .onnx - is just LFS header
):
# Copy
shutil.copyfile(
f'/data/dkounadis/mimic3-voices/voices/{speaker_free_voice_name}/generator.onnx',
home_voice_dir + 'generator.onnx')
prepare_file = _voice.replace('/', '_').replace('#', '_').replace('_low', '')
if 'cmu-arctic' in prepare_file:
prepare_file = prepare_file.replace('cmu-arctic', 'cmu_arctic') + '.wav'
else:
prepare_file = prepare_file + '.wav' # [...cmu-arctic...](....cmu_arctic....wav)
# file_true = prepare_file.split('.wav')[0] + '_true_.wav'
# file_false = prepare_file.split('.wav')[0] + '_false_.wav'
# print(prepare_file, file_false, file_true)
reference_wav = reference_wav_directory + prepare_file
if not os.path.isfile(reference_wav):
rate = 1 # high speed sounds nice if used as speaker-reference audio for StyleTTS2
_ssml = (
'<speak>'
'<prosody volume=\'64\'>'
f'<prosody rate=\'{rate}\'>'
f'<voice name=\'{_voice}\'>'
'<s>'
'Sweet dreams are made of this, .. !!! # I travel the world and the seven seas.'
'</s>'
'</voice>'
'</prosody>'
'</prosody>'
'</speak>'
)
with open('_tmp_ssml.txt', 'w') as f:
f.write(_ssml)
# ps = subprocess.Popen(f'cat _tmp_ssml.txt | mimic3 --ssml > {reference_wav}', shell=True)
# ps.wait() # using ps to call mimic3 because samples dont have time to be written in stdout buffer
args = get_args()
args.ssml = True
args.text = [_ssml] #['aa', 'bb'] #txt
args.interactive = False
# args.output_naming = OutputNaming.TIME
state = CommandLineInterfaceState(args=args)
initialize_args(state)
initialize_tts(state)
# args.texts = [txt] #['aa', 'bb'] #txt
# state.stdout = '.' #None #'makeme.wav'
# state.output_dir = '.noopy'
# state.interactive = False
# state.output_naming = OutputNaming.TIME
# # state.ssml = 1234546575
# state.stdout = True
# state.tts = True
process_lines(state, wav_path=reference_wav)
shutdown_tts(state)
print(os.path.getsize(reference_wav), 'SZ')