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54 lines
1.6 KiB
Python
Executable File
54 lines
1.6 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2021 Xiaomi Corp. (authors: Fangjun Kuang)
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# Copyright 2023 (authors: Feiteng Li)
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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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"""
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This file displays duration statistics of utterances in the manifests.
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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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"""
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import argparse
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from pathlib import Path
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from lhotse import load_manifest_lazy
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def get_args():
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parser = argparse.ArgumentParser()
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parser.add_argument(
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"--manifest-dir",
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type=Path,
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default=Path("data/tokenized"),
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help="Path to the tokenized manifests.",
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)
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return parser.parse_args()
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def main():
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args = get_args()
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manifest_dir = args.manifest_dir or Path("data/tokenized")
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for part in ["train", "dev", "test"]:
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print(f"## {part}")
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cuts = load_manifest_lazy(manifest_dir / f"cuts_{part}.jsonl.gz")
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cuts.describe()
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print("\n")
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if __name__ == "__main__":
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main()
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