mirror of https://github.com/coqui-ai/TTS.git
81 lines
2.2 KiB
Python
81 lines
2.2 KiB
Python
import os
|
|
|
|
from TTS.config import BaseAudioConfig, BaseDatasetConfig
|
|
from TTS.trainer import Trainer, TrainingArgs
|
|
from TTS.tts.configs.fast_speech_config import FastSpeechConfig
|
|
from TTS.tts.datasets import load_tts_samples
|
|
from TTS.tts.models.forward_tts import ForwardTTS
|
|
from TTS.tts.utils.speakers import SpeakerManager
|
|
from TTS.utils.audio import AudioProcessor
|
|
|
|
output_path = os.path.dirname(os.path.abspath(__file__))
|
|
dataset_config = BaseDatasetConfig(name="vctk", meta_file_train="", path=os.path.join(output_path, "../VCTK/"))
|
|
|
|
audio_config = BaseAudioConfig(
|
|
sample_rate=22050,
|
|
do_trim_silence=True,
|
|
trim_db=23.0,
|
|
signal_norm=False,
|
|
mel_fmin=0.0,
|
|
mel_fmax=8000,
|
|
spec_gain=1.0,
|
|
log_func="np.log",
|
|
ref_level_db=20,
|
|
preemphasis=0.0,
|
|
)
|
|
|
|
config = FastSpeechConfig(
|
|
run_name="fast_pitch_ljspeech",
|
|
audio=audio_config,
|
|
batch_size=32,
|
|
eval_batch_size=16,
|
|
num_loader_workers=8,
|
|
num_eval_loader_workers=4,
|
|
compute_input_seq_cache=True,
|
|
compute_f0=True,
|
|
f0_cache_path=os.path.join(output_path, "f0_cache"),
|
|
run_eval=True,
|
|
test_delay_epochs=-1,
|
|
epochs=1000,
|
|
text_cleaner="english_cleaners",
|
|
use_phonemes=True,
|
|
use_espeak_phonemes=False,
|
|
phoneme_language="en-us",
|
|
phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
|
|
print_step=50,
|
|
print_eval=False,
|
|
mixed_precision=False,
|
|
sort_by_audio_len=True,
|
|
max_seq_len=500000,
|
|
output_path=output_path,
|
|
datasets=[dataset_config],
|
|
use_speaker_embedding=True,
|
|
)
|
|
|
|
# init audio processor
|
|
ap = AudioProcessor(**config.audio)
|
|
|
|
# load training samples
|
|
train_samples, eval_samples = load_tts_samples(dataset_config, eval_split=True)
|
|
|
|
# init speaker manager for multi-speaker training
|
|
# it maps speaker-id to speaker-name in the model and data-loader
|
|
speaker_manager = SpeakerManager()
|
|
speaker_manager.set_speaker_ids_from_data(train_samples + eval_samples)
|
|
config.model_args.num_speakers = speaker_manager.num_speakers
|
|
|
|
# init model
|
|
model = ForwardTTS(config, speaker_manager)
|
|
|
|
# init the trainer and 🚀
|
|
trainer = Trainer(
|
|
TrainingArgs(),
|
|
config,
|
|
output_path,
|
|
model=model,
|
|
train_samples=train_samples,
|
|
eval_samples=eval_samples,
|
|
training_assets={"audio_processor": ap},
|
|
)
|
|
trainer.fit()
|