Add Original YourTTS vocabulary for full transfer learning

This commit is contained in:
Edresson Casanova 2022-12-12 12:31:02 -03:00
parent a066e14fb1
commit 4a94f3ae31
1 changed files with 15 additions and 3 deletions

View File

@ -8,7 +8,7 @@ from TTS.bin.resample import resample_files
from TTS.config.shared_configs import BaseDatasetConfig
from TTS.tts.configs.vits_config import VitsConfig
from TTS.tts.datasets import load_tts_samples
from TTS.tts.models.vits import Vits, VitsArgs, VitsAudioConfig
from TTS.tts.models.vits import Vits, VitsArgs, VitsAudioConfig, CharactersConfig
from TTS.utils.downloaders import download_vctk
torch.set_num_threads(24)
@ -30,7 +30,7 @@ RUN_NAME = "YourTTS-EN-VCTK"
OUT_PATH = os.path.dirname(os.path.abspath(__file__)) # "/raid/coqui/Checkpoints/original-YourTTS/"
# If you want to do transfer learning and speedup your training you can set here the path to the original YourTTS model
RESTORE_PATH = None # "/root/.local/share/tts/tts_models--multilingual--multi-dataset--your_tts/model_file.pth"
RESTORE_PATH = None # "/root/.local/share/tts/tts_models--multilingual--multi-dataset--your_tts/model_file.pth"
# This paramter is usefull to debug, it skips the training epochs and just do the evaluation and produce the test sentences
SKIP_TRAIN_EPOCH = False
@ -151,7 +151,19 @@ config = VitsConfig(
phoneme_language="en",
compute_input_seq_cache=True,
add_blank=True,
text_cleaner="english_cleaners",
text_cleaner="multilingual_cleaners",
characters=CharactersConfig(
characters_class="TTS.tts.models.vits.VitsCharacters",
pad="_",
eos="&",
bos="*",
blank=None,
characters="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz\u00af\u00b7\u00df\u00e0\u00e1\u00e2\u00e3\u00e4\u00e6\u00e7\u00e8\u00e9\u00ea\u00eb\u00ec\u00ed\u00ee\u00ef\u00f1\u00f2\u00f3\u00f4\u00f5\u00f6\u00f9\u00fa\u00fb\u00fc\u00ff\u0101\u0105\u0107\u0113\u0119\u011b\u012b\u0131\u0142\u0144\u014d\u0151\u0153\u015b\u016b\u0171\u017a\u017c\u01ce\u01d0\u01d2\u01d4\u0430\u0431\u0432\u0433\u0434\u0435\u0436\u0437\u0438\u0439\u043a\u043b\u043c\u043d\u043e\u043f\u0440\u0441\u0442\u0443\u0444\u0445\u0446\u0447\u0448\u0449\u044a\u044b\u044c\u044d\u044e\u044f\u0451\u0454\u0456\u0457\u0491\u2013!'(),-.:;? ",
punctuations="!'(),-.:;? ",
phonemes="",
is_unique=True,
is_sorted=True
),
phoneme_cache_path=None,
precompute_num_workers=12,
start_by_longest=True,