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https://github.com/storytold/vits-finetuning.git
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ZDisket
65 lines
2.4 KiB
Python
65 lines
2.4 KiB
Python
import argparse
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import text
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from utils import load_filepaths_and_text
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from tqdm import tqdm
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import os
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from moji.moji import TorchMoji
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import torch
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from bertfe import BERTFrontEnd
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if __name__ == '__main__':
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parser = argparse.ArgumentParser()
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parser.add_argument("--out_extension", default="cleaned")
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parser.add_argument("--text_index", default=1, type=int)
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parser.add_argument("--filelists", nargs="+", default=["filelists/ljs_audio_text_val_filelist.txt", "filelists/ljs_audio_text_test_filelist.txt"])
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parser.add_argument("--text_cleaners", nargs="+", default=["english_cleaners2"])
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parser.add_argument("--bert", default="huawei-noah/TinyBERT_General_4L_312D")
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args = parser.parse_args()
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moji = TorchMoji(verbose=True)
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bert_f = BERTFrontEnd(model_name=args.bert)
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if "arpa_cleaners" in args.text_cleaners:
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print("ARPA cleaners detected, will run in dual mode")
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for filelist in args.filelists:
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print("START:", filelist)
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filepaths_and_text = load_filepaths_and_text(filelist)
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new_fp_text = []
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for i in tqdm(range(len(filepaths_and_text))):
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original_text = filepaths_and_text[i][args.text_index]
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original_fname = filepaths_and_text[i][0].split(".")[0] # wavs/cat.wav -> wavs/cat
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moji_filename = original_fname + ".torchmoji"
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if not os.path.isfile(moji_filename):
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moji_result = moji(original_text)
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torch.save(moji_result, moji_filename)
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bert_filename = original_fname + ".bert"
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if not os.path.isfile(bert_filename):
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bert_res, _ = bert_f.infer(original_text)
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torch.save(bert_res,bert_filename)
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cleaned_text = text._clean_text(original_text, args.text_cleaners)
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text_arrs = filepaths_and_text[i]
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text_arrs[args.text_index] = cleaned_text
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new_fp_text.append(text_arrs)
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if "arpa_cleaners" in args.text_cleaners:
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# ZDisket: Python's default behavior when equalling a list is a reference, so unless we use .copy() this ends up
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# overriding the previous entry and leading into 2 text entries (wtf, why like this?)
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text_arrs2 = filepaths_and_text[i].copy()
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text_arrs2[args.text_index] = text._clean_text(original_text, ["arpa_precleaners"])
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new_fp_text.append(text_arrs2)
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new_filelist = filelist + "." + args.out_extension
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with open(new_filelist, "w", encoding="utf-8") as f:
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for x in new_fp_text:
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f.write("|".join(x) + "\n")
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