mirror of https://github.com/MycroftAI/mimic2.git
105 lines
3.5 KiB
Python
105 lines
3.5 KiB
Python
import argparse
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import os
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from multiprocessing import cpu_count
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from tqdm import tqdm
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from datasets import amy, blizzard, ljspeech, kusal, mailabs
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from hparams import hparams, hparams_debug_string
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def preprocess_blizzard(args):
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in_dir = os.path.join(args.base_dir, 'Blizzard2012')
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out_dir = os.path.join(args.base_dir, args.output)
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os.makedirs(out_dir, exist_ok=True)
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metadata = blizzard.build_from_path(
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in_dir, out_dir, args.num_workers, tqdm=tqdm)
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write_metadata(metadata, out_dir)
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def preprocess_ljspeech(args):
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in_dir = os.path.join(args.base_dir, 'LJSpeech-1.0')
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out_dir = os.path.join(args.base_dir, args.output)
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os.makedirs(out_dir, exist_ok=True)
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metadata = ljspeech.build_from_path(
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in_dir, out_dir, args.num_workers, tqdm=tqdm)
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write_metadata(metadata, out_dir)
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def preprocess_amy(args):
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in_dir = os.path.join(args.base_dir, 'amy')
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out_dir = os.path.join(args.base_dir, args.output)
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os.makedirs(out_dir, exist_ok=True)
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metadata = amy.build_from_path(in_dir, out_dir, args.num_workers, tqdm=tqdm)
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write_metadata(metadata, out_dir)
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def preprocess_kusal(args):
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in_dir = os.path.join(args.base_dir, 'kusal')
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out_dir = os.path.join(args.base_dir, args.output)
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os.makedirs(out_dir, exist_ok=True)
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metadata = kusal.build_from_path(
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in_dir, out_dir, args.num_workers, tqdm=tqdm)
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write_metadata(metadata, out_dir)
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def preprocess_mailabs(args):
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in_dir = os.path.join(args.mailabs_books_dir)
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out_dir = os.path.join(args.base_dir, args.output)
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os.makedirs(out_dir, exist_ok=True)
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books = args.books
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metadata = mailabs.build_from_path(
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in_dir, out_dir, books, args.num_workers, tqdm)
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write_metadata(metadata, out_dir)
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def write_metadata(metadata, out_dir):
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with open(os.path.join(out_dir, 'train.txt'), 'w', encoding='utf-8') as f:
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for m in metadata:
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f.write('|'.join([str(x) for x in m]) + '\n')
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frames = sum([m[2] for m in metadata])
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hours = frames * hparams.frame_shift_ms / (3600 * 1000)
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print('Wrote %d utterances, %d frames (%.2f hours)' %
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(len(metadata), frames, hours))
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print('Max input length: %d' % max(len(m[3]) for m in metadata))
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print('Max output length: %d' % max(m[2] for m in metadata))
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument('--base_dir', default=os.path.expanduser('~/tacotron'))
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parser.add_argument('--output', default='training')
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parser.add_argument(
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'--dataset', required=True, choices=['amy', 'blizzard', 'ljspeech', 'kusal', 'mailabs']
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)
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parser.add_argument('--mailabs_books_dir',
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help='absolute directory to the books for the mlailabs')
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parser.add_argument(
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'--books',
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help='comma-seperated and no space name of books i.e hunter_space,pink_fairy_book,etc.',
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)
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parser.add_argument('--num_workers', type=int, default=cpu_count())
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args = parser.parse_args()
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if args.dataset == 'mailabs' and args.books is None:
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parser.error("--books required if mailabs is chosen for dataset.")
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if args.dataset == 'mailabs' and args.mailabs_books_dir is None:
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parser.error(
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"--mailabs_books_dir required if mailabs is chosen for dataset.")
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print(hparams_debug_string())
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if args.dataset == 'amy':
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preprocess_amy(args)
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elif args.dataset == 'blizzard':
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preprocess_blizzard(args)
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elif args.dataset == 'ljspeech':
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preprocess_ljspeech(args)
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elif args.dataset == 'kusal':
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preprocess_kusal(args)
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elif args.dataset == 'mailabs':
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preprocess_mailabs(args)
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if __name__ == "__main__":
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main()
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