mirror of
https://github.com/k2-fsa/icefall.git
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b293db4baf
* modify preparation * small refacor * add tedlium3 conformer_ctc2 * modify decode * filter unk in decode * add scaling converter * address comments * fix lambda function lhotse * add implicit manifest shuffle * refactor ctc_greedy_search * import model arguments from train.py * style fix * fix ci test and last style issues * update RESULTS * fix RESULTS numbers * fix label smoothing loss * update model parameters number in RESULTS
84 lines
2.2 KiB
Python
Executable File
84 lines
2.2 KiB
Python
Executable File
#!/usr/bin/env python3
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# Copyright 2022 Behavox LLC. (authors: Daniil Kulko)
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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 tedlium_supervisions_train.json and does the following:
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1. Generate words.txt.
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"""
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import argparse
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import logging
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import re
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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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"--lang-dir",
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type=str,
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help="Output directory.",
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)
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return parser.parse_args()
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def prepare_words(lang_dir: str) -> None:
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"""
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Args:
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lang_dir:
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The language directory, e.g., data/lang.
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Return:
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The words.txt file.
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"""
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words_orig_path = Path(lang_dir) / "words_orig.txt"
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words_path = Path(lang_dir) / "words.txt"
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foreign_chr_check = re.compile(r"[^a-z']")
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logging.info(f"Loading {words_orig_path.name}")
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with open(words_orig_path, "r", encoding="utf8") as f:
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words = {w for w_compl in f for w in w_compl.strip("-\n").split("_")}
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words = {w for w in words if foreign_chr_check.search(w) is None and w != ""}
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words.add("<unk>")
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words = ["<eps>", "!SIL"] + sorted(words) + ["#0", "<s>", "</s>"]
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with open(words_path, "w+", encoding="utf8") as f:
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for idx, word in enumerate(words):
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f.write(f"{word} {idx}\n")
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def main() -> None:
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args = get_args()
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lang_dir = Path(args.lang_dir)
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logging.info("Generating words.txt")
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prepare_words(lang_dir)
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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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main()
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