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* initial commit for libriheavy * Data prepare pipeline * Fix train.py * Fix decode.py * Add results * minor fixes * black * black * Incorporate PR https://github.com/k2-fsa/icefall/pull/1269 --------- Co-authored-by: zr_jin <peter.jin.cn@gmail.com>
48 lines
1.6 KiB
Python
Executable File
48 lines
1.6 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2023 Xiaomi Corp. (authors: Wei Kang)
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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 gzip
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import json
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import sys
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from pathlib import Path
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def simple_cleanup(text: str) -> str:
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table = str.maketrans("’‘,。;?!():-《》、“”【】", "'',.;?!(): <>/\"\"[]")
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text = text.translate(table)
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return text.strip()
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# Assign text of the supervisions and remove unnecessary entries.
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def main():
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assert len(sys.argv) == 3, "Usage: ./local/prepare_manifest.py INPUT OUTPUT_DIR"
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fname = Path(sys.argv[1]).name
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oname = Path(sys.argv[2]) / fname
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with gzip.open(sys.argv[1], "r") as fin, gzip.open(oname, "w") as fout:
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for line in fin:
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cut = json.loads(line)
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cut["supervisions"][0]["text"] = simple_cleanup(
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cut["supervisions"][0]["custom"]["texts"][0]
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)
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del cut["supervisions"][0]["custom"]
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del cut["custom"]
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fout.write((json.dumps(cut) + "\n").encode())
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if __name__ == "__main__":
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main()
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