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add step 4: display manifest stats to mls_eng
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egs/mls_english/ASR/local/display_manifest_statistics.py
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58
egs/mls_english/ASR/local/display_manifest_statistics.py
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#!/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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@ -20,7 +20,7 @@ dl_dir=$PWD/download
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# All files generated by this script are saved in "data".
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# All files generated by this script are saved in "data".
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mkdir -p data
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mkdir -p data
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mkdir -p data/audio # Add this line
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mkdir -p data/audio
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mkdir -p data/manifests
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mkdir -p data/manifests
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mkdir -p data/lang
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mkdir -p data/lang
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@ -110,4 +110,10 @@ if [ $stage -le 3 ] && [ $stop_stage -ge 3 ]; then
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done
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done
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fi
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fi
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if [ $stage -le 4 ] && [ $stop_stage -ge 4 ]; then
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log "Stage 4: Show manifest statistics"
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python local/display_manifest_statistics.py --manifest-dir data/manifests > data/manifests/manifest_statistics.txt
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cat data/manifests/manifest_statistics.txt
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fi
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log "MLS English data preparation completed successfully"
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log "MLS English data preparation completed successfully"
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