mirror of https://github.com/coqui-ai/TTS.git
31 lines
990 B
Python
31 lines
990 B
Python
import os
|
|
|
|
from TTS.trainer import Trainer, TrainingArgs, init_training
|
|
from TTS.tts.configs import BaseDatasetConfig, GlowTTSConfig
|
|
|
|
output_path = os.path.dirname(os.path.abspath(__file__))
|
|
dataset_config = BaseDatasetConfig(
|
|
name="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/")
|
|
)
|
|
config = GlowTTSConfig(
|
|
batch_size=32,
|
|
eval_batch_size=16,
|
|
num_loader_workers=4,
|
|
num_eval_loader_workers=4,
|
|
run_eval=True,
|
|
test_delay_epochs=-1,
|
|
epochs=1000,
|
|
text_cleaner="english_cleaners",
|
|
use_phonemes=False,
|
|
phoneme_language="en-us",
|
|
phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
|
|
print_step=25,
|
|
print_eval=True,
|
|
mixed_precision=False,
|
|
output_path=output_path,
|
|
datasets=[dataset_config],
|
|
)
|
|
args, config, output_path, _, c_logger, dashboard_logger = init_training(TrainingArgs(), config)
|
|
trainer = Trainer(args, config, output_path, c_logger, dashboard_logger)
|
|
trainer.fit()
|