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import json
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from collections import defaultdict
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from random import shuffle
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from typing import Optional
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from tqdm import tqdm
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import click
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from text.cleaner import clean_text_bert
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import os
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import torch
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from text.symbols import symbols, num_languages, num_tones
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@click.command()
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@click.option(
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"--metadata",
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default="data/example/metadata.list",
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type=click.Path(exists=True, file_okay=True, dir_okay=False),
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)
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@click.option("--cleaned-path", default=None)
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@click.option("--train-path", default=None)
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@click.option("--val-path", default=None)
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@click.option(
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"--config_path",
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default="configs/config.json",
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type=click.Path(exists=True, file_okay=True, dir_okay=False),
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)
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@click.option("--val-per-spk", default=4)
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@click.option("--max-val-total", default=8)
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@click.option("--clean/--no-clean", default=True)
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def main(
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metadata: str,
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cleaned_path: Optional[str],
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train_path: str,
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val_path: str,
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config_path: str,
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val_per_spk: int,
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max_val_total: int,
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clean: bool,
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):
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if train_path is None:
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train_path = os.path.join(os.path.dirname(metadata), 'train.list')
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if val_path is None:
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val_path = os.path.join(os.path.dirname(metadata), 'val.list')
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out_config_path = os.path.join(os.path.dirname(metadata), 'config.json')
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if cleaned_path is None:
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cleaned_path = metadata + ".cleaned"
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if clean:
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out_file = open(cleaned_path, "w", encoding="utf-8")
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new_symbols = []
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for line in tqdm(open(metadata, encoding="utf-8").readlines()):
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try:
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utt, spk, language, text = line.strip().split("|")
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norm_text, phones, tones, word2ph, bert = clean_text_bert(text, language, device='cuda:0')
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for ph in phones:
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if ph not in symbols and ph not in new_symbols:
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new_symbols.append(ph)
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print('update!, now symbols:')
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print(new_symbols)
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with open(f'{language}_symbol.txt', 'w') as f:
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f.write(f'{new_symbols}')
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assert len(phones) == len(tones)
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assert len(phones) == sum(word2ph)
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out_file.write(
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"{}|{}|{}|{}|{}|{}|{}\n".format(
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utt,
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spk,
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language,
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norm_text,
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" ".join(phones),
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" ".join([str(i) for i in tones]),
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" ".join([str(i) for i in word2ph]),
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)
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)
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bert_path = utt.replace(".wav", ".bert.pt")
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os.makedirs(os.path.dirname(bert_path), exist_ok=True)
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torch.save(bert.cpu(), bert_path)
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except Exception as error:
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print("err!", line, error)
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out_file.close()
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metadata = cleaned_path
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spk_utt_map = defaultdict(list)
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spk_id_map = {}
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current_sid = 0
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with open(metadata, encoding="utf-8") as f:
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for line in f.readlines():
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utt, spk, language, text, phones, tones, word2ph = line.strip().split("|")
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spk_utt_map[spk].append(line)
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if spk not in spk_id_map.keys():
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spk_id_map[spk] = current_sid
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current_sid += 1
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train_list = []
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val_list = []
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for spk, utts in spk_utt_map.items():
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shuffle(utts)
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val_list += utts[:val_per_spk]
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train_list += utts[val_per_spk:]
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if len(val_list) > max_val_total:
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train_list += val_list[max_val_total:]
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val_list = val_list[:max_val_total]
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with open(train_path, "w", encoding="utf-8") as f:
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for line in train_list:
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f.write(line)
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with open(val_path, "w", encoding="utf-8") as f:
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for line in val_list:
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f.write(line)
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config = json.load(open(config_path, encoding="utf-8"))
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config["data"]["spk2id"] = spk_id_map
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config["data"]["training_files"] = train_path
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config["data"]["validation_files"] = val_path
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config["data"]["n_speakers"] = len(spk_id_map)
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config["num_languages"] = num_languages
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config["num_tones"] = num_tones
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config["symbols"] = symbols
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with open(out_config_path, "w", encoding="utf-8") as f:
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json.dump(config, f, indent=2, ensure_ascii=False)
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if __name__ == "__main__":
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main()
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