Upload train_vits-0.py with huggingface_hub
Browse files- train_vits-0.py +104 -0
train_vits-0.py
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import os
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from trainer import Trainer, TrainerArgs
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from TTS.tts.configs.shared_configs import BaseDatasetConfig , CharactersConfig
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from TTS.config.shared_configs import BaseAudioConfig
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from TTS.tts.configs.vits_config import VitsConfig
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from TTS.tts.datasets import load_tts_samples
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from TTS.tts.models.vits import Vits, VitsAudioConfig
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from TTS.tts.utils.text.tokenizer import TTSTokenizer
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from TTS.utils.audio import AudioProcessor
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from TTS.utils.downloaders import download_thorsten_de
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output_path = os.path.dirname(os.path.abspath(__file__))
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dataset_config = BaseDatasetConfig(
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formatter="mozilla", meta_file_train="metadata.csv", path="/kaggle/input/persian-tts-dataset"
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)
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audio_config = BaseAudioConfig(
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sample_rate=22050,
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do_trim_silence=True,
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resample=False,
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mel_fmin=0,
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mel_fmax=None
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)
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character_config=CharactersConfig(
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characters='ءابتثجحخدذرزسشصضطظعغفقلمنهويِپچژکگیآأؤإئًَُّ',
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punctuations='!(),-.:;? ̠،؛؟<>',
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phonemes='ˈˌːˑpbtdʈɖcɟkɡqɢʔɴŋɲɳnɱmʙrʀⱱɾɽɸβfvθðszʃʒʂʐçʝxɣχʁħʕhɦɬɮʋɹɻjɰlɭʎʟaegiouwyɪʊ̩æɑɔəɚɛɝɨ̃ʉʌʍ0123456789"#$%*+/=ABCDEFGHIJKLMNOPRSTUVWXYZ[]^_{}',
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pad="<PAD>",
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eos="<EOS>",
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bos="<BOS>",
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blank="<BLNK>",
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characters_class="TTS.tts.utils.text.characters.IPAPhonemes",
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)
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config = VitsConfig(
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audio=audio_config,
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run_name="vits_fa_male",
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batch_size=8,
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eval_batch_size=4,
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batch_group_size=5,
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num_loader_workers=0,
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num_eval_loader_workers=2,
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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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save_step=1000,
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text_cleaner="basic_cleaners",
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use_phonemes=True,
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phoneme_language="fa",
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characters=character_config,
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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=False,
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test_sentences=[
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["سلطان محمود در زمستانی سخت به طلخک گفت که: با این جامه ی یک لا در این سرما چه می کنی "],
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["مردی نزد بقالی آمد و گفت پیاز هم ده تا دهان بدان خو شبوی سازم."],
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["از مال خود پاره ای گوشت بستان و زیره بایی معطّر بساز"],
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["یک بار هم از جهنم بگویید."],
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["یکی اسبی به عاریت خواست"]
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],
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output_path=output_path,
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datasets=[dataset_config],
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)
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# INITIALIZE THE AUDIO PROCESSOR
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# Audio processor is used for feature extraction and audio I/O.
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# It mainly serves to the dataloader and the training loggers.
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ap = AudioProcessor.init_from_config(config)
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# INITIALIZE THE TOKENIZER
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# Tokenizer is used to convert text to sequences of token IDs.
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# config is updated with the default characters if not defined in the config.
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tokenizer, config = TTSTokenizer.init_from_config(config)
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# LOAD DATA SAMPLES
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# Each sample is a list of ```[text, audio_file_path, speaker_name]```
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# You can define your custom sample loader returning the list of samples.
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# Or define your custom formatter and pass it to the `load_tts_samples`.
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# Check `TTS.tts.datasets.load_tts_samples` for more details.
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train_samples, eval_samples = load_tts_samples(
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dataset_config,
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eval_split=True,
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eval_split_max_size=config.eval_split_max_size,
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eval_split_size=config.eval_split_size,
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)
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# init model
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model = Vits(config, ap, tokenizer, speaker_manager=None)
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# init the trainer and 🚀
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trainer = Trainer(
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TrainerArgs(),
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config,
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output_path,
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model=model,
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train_samples=train_samples,
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eval_samples=eval_samples,
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)
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trainer.fit()
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