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71 lines
2.1 KiB
Python
71 lines
2.1 KiB
Python
# Copyright (c) 2020, NVIDIA CORPORATION. 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 sys
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from nemo.collections.tts.data.datalayers import preprocess_linear_specs_dataset
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sys.path.insert(0, '../')
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def main():
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parser = argparse.ArgumentParser(
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description='Create dataset fitted for training and validating deep griffin iteration from wavefiles'
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)
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parser.add_argument(
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"-v",
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"--valid_filelist",
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help="Filelist for validation set, with all validation audio files listed",
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required=True,
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default=None,
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type=str,
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)
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parser.add_argument(
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"-t",
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"--train_filelist",
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help="Filelist for train set, with all train audio files listed",
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required=True,
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default=None,
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type=str,
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)
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parser.add_argument(
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"-n",
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"--n_fft",
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help="Value for the n_fft parameter, and the filter length for the STFT",
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default=512,
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type=int,
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)
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parser.add_argument("--hop_length", help="STFT parameter", default=256, type=int)
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parser.add_argument(
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"-d", "--destination", help="Destination to save the preprocessed data set to", default="/tmp", type=str
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)
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parser.add_argument(
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"-s",
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"--num_snr",
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help="Number of distinctive noisy samples to generate for each clear sample at the file list",
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default=1,
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type=int,
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)
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args = parser.parse_args()
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preprocess_linear_specs_dataset(
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args.valid_filelist, args.train_filelist, args.n_fft, args.hop_length, args.num_snr, args.destination
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)
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if __name__ == "__main__":
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main()
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