mirror of
https://github.com/k2-fsa/icefall.git
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93 lines
2.7 KiB
Python
Executable File
93 lines
2.7 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2023 Xiaomi Corp. (authors: Xiaoyu Yang)
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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 computes fbank features of the LibriSpeech dataset.
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It looks for manifests in the directory data/manifests.
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The generated fbank features are saved in data/fbank.
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"""
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import argparse
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import logging
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import os
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from pathlib import Path
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from typing import Optional
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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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"--in-manifest", type=str, help="The original manifest coming from"
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)
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parser.add_argument(
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"--out-manifest",
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type=str,
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help="Where to store the manifest after filtering out the test/dev sets",
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)
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return parser.parse_args()
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def main(args):
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logging.info(f"Loading manifest {args.in_manifest}")
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cuts = load_manifest_lazy(args.in_manifest)
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all_test_sets = [
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"dev",
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"test-clean",
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"test-other",
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]
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all_books = []
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for test_set in all_test_sets:
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logging.info(f"Processing test set: {test_set}")
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with open(f"data/manifests/{test_set}.txt", "r") as f:
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books = f.read().split("\n")
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all_books += books
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out_name = f"data/manifests/libriheavy_cuts_{test_set}.jsonl.gz"
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if os.path.exists(out_name):
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continue
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# find the cuts belonging to the given books
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selected_cuts = cuts.filter(lambda c: c.text_path.split("/")[-2] in books)
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selected_cuts.describe()
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logging.info(f"Saving the cuts contained in the book list to {out_name}")
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selected_cuts.to_file(out_name)
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filtered_cuts = cuts.filter(lambda c: c.text_path.split("/")[-2] not in all_books)
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logging.info(f"Saving the filtered manifest to {args.out_manifest}.")
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filtered_cuts.to_file(args.out_manifest)
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logging.info("Done")
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if __name__ == "__main__":
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formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
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logging.basicConfig(format=formatter, level=logging.INFO)
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args = get_args()
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logging.info(vars(args))
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main(args)
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