mirror of https://github.com/coqui-ai/TTS.git
53 lines
1.5 KiB
Python
53 lines
1.5 KiB
Python
import os
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from TTS.config.shared_configs import BaseAudioConfig
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from TTS.trainer import Trainer, TrainingArgs, init_training
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from TTS.tts.configs import BaseDatasetConfig, VitsConfig
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output_path = os.path.dirname(os.path.abspath(__file__))
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dataset_config = BaseDatasetConfig(
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name="ljspeech", meta_file_train="metadata.csv", path=os.path.join(output_path, "../LJSpeech-1.1/")
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)
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audio_config = BaseAudioConfig(
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sample_rate=22050,
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win_length=1024,
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hop_length=256,
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num_mels=80,
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preemphasis=0.0,
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ref_level_db=20,
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log_func="np.log",
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do_trim_silence=True,
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trim_db=45,
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mel_fmin=0,
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mel_fmax=None,
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spec_gain=1.0,
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signal_norm=False,
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do_amp_to_db_linear=False,
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)
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config = VitsConfig(
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audio=audio_config,
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run_name="vits_ljspeech",
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batch_size=48,
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eval_batch_size=16,
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batch_group_size=0,
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num_loader_workers=4,
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num_eval_loader_workers=4,
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run_eval=True,
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test_delay_epochs=-1,
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epochs=1000,
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text_cleaner="english_cleaners",
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use_phonemes=True,
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phoneme_language="en-us",
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phoneme_cache_path=os.path.join(output_path, "phoneme_cache"),
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compute_input_seq_cache=True,
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print_step=25,
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print_eval=True,
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mixed_precision=True,
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max_seq_len=5000,
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output_path=output_path,
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datasets=[dataset_config],
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)
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args, config, output_path, _, c_logger, tb_logger = init_training(TrainingArgs(), config)
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trainer = Trainer(args, config, output_path, c_logger, tb_logger, cudnn_benchmark=True)
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trainer.fit()
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