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2e0f255ada
* add timit recipe for icefall * add shared file * update the docs for timit recipe * Delete shared * update the timit recipe and check style * Update model.py * Do some changes * Update model.py * Update model.py * Add README.md and RESULTS.md * Update RESULTS.md * Update README.md * update the docs for timit recipe
103 lines
2.7 KiB
Python
103 lines
2.7 KiB
Python
#!/usr/bin/env python3
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# Copyright 2021 Xiaomi Corp. (authors: Mingshuang Luo)
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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 script takes as input supervisions json dir "data/manifests"
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consisting of supervisions_TRAIN.json and does the following:
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1. Generate lexicon.txt.
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"""
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import argparse
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import json
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import logging
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from pathlib import Path
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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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"--manifests-dir",
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type=str,
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help="""Input directory.
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""",
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)
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parser.add_argument(
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"--lang-dir",
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type=str,
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help="""Output directory.
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""",
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)
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return parser.parse_args()
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def prepare_lexicon(manifests_dir: str, lang_dir: str):
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"""
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Args:
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manifests_dir:
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The manifests directory, e.g., data/manifests.
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lang_dir:
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The language directory, e.g., data/lang_phone.
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Return:
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The lexicon.txt file and the train.text in lang_dir.
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"""
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phones = set()
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supervisions_train = Path(manifests_dir) / "supervisions_TRAIN.json"
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lexicon = Path(lang_dir) / "lexicon.txt"
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logging.info(f"Loading {supervisions_train}!")
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with open(supervisions_train, "r") as load_f:
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load_dicts = json.load(load_f)
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for load_dict in load_dicts:
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text = load_dict["text"]
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# list the phone units and filter the empty item
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phones_list = list(filter(None, text.split()))
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for phone in phones_list:
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if phone not in phones:
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phones.add(phone)
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with open(lexicon, "w") as f:
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for phone in sorted(phones):
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f.write(phone + " " + phone)
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f.write("\n")
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f.write("<UNK> <UNK>")
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f.write("\n")
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def main():
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args = get_args()
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manifests_dir = Path(args.manifests_dir)
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lang_dir = Path(args.lang_dir)
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logging.info("Generating lexicon.txt")
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prepare_lexicon(manifests_dir, lang_dir)
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if __name__ == "__main__":
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formatter = (
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"%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
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)
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logging.basicConfig(format=formatter, level=logging.INFO)
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main()
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