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59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
#!/usr/bin/env python3
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# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang)
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# 2022 The University of Electro-Communications (author: Teo Wen Shen) # noqa
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#
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# See ../../../../LICENSE for clarification regarding multiple authors
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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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from pathlib import Path
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from lhotse import CutSet, load_manifest
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ARGPARSE_DESCRIPTION = """
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This file displays duration statistics of utterances in a manifest.
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You can use the displayed value to choose minimum/maximum duration
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to remove short and long utterances during the training.
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See the function `remove_short_and_long_utt()` in
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pruned_transducer_stateless5/train.py for usage.
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"""
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def get_parser():
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parser = argparse.ArgumentParser(
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description=ARGPARSE_DESCRIPTION,
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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)
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parser.add_argument("--manifest-dir", type=Path, help="Path to cutset manifests")
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return parser.parse_args()
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def main():
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args = get_parser()
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for part in ["dev", "test", "train"]:
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path = args.manifest_dir / f"mls_eng_cuts_{part}.jsonl.gz"
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cuts: CutSet = load_manifest(path)
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print("\n---------------------------------\n")
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print(path.name + ":")
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cuts.describe()
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if __name__ == "__main__":
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main()
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