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# Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import paddle
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from yacs.config import CfgNode
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from paddlespeech.audio.datasets.voxceleb import VoxCeleb
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from paddlespeech.s2t.utils.log import Log
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from paddlespeech.vector.io.augment import build_augment_pipeline
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from paddlespeech.vector.training.seeding import seed_everything
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logger = Log(__name__).getlog()
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def main(args, config):
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# stage0: set the cpu device, all data prepare process will be done in cpu mode
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paddle.set_device("cpu")
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# set the random seed, it is a must for multiprocess training
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seed_everything(config.seed)
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# stage 1: generate the voxceleb csv file
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# Note: this may occurs c++ execption, but the program will execute fine
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# so we ignore the execption
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# we explicitly pass the vox2 base path to data prepare and generate the audio info
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logger.info("start to generate the voxceleb dataset info")
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train_dataset = VoxCeleb(
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'train', target_dir=args.data_dir, vox2_base_path=config.vox2_base_path)
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# stage 2: generate the augment noise csv file
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if config.augment:
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logger.info("start to generate the augment dataset info")
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augment_pipeline = build_augment_pipeline(target_dir=args.data_dir)
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if __name__ == "__main__":
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# yapf: disable
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parser = argparse.ArgumentParser(__doc__)
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parser.add_argument("--data-dir",
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default="./data/",
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type=str,
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help="data directory")
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parser.add_argument("--config",
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default=None,
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type=str,
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help="configuration file")
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args = parser.parse_args()
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# yapf: enable
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# https://yaml.org/type/float.html
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config = CfgNode(new_allowed=True)
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if args.config:
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config.merge_from_file(args.config)
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config.freeze()
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print(config)
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main(args, config)
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