mirror of
https://github.com/k2-fsa/icefall.git
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c17233eca7
* add aishell2 * fix aishell2 * add manifest stats * update prepare char dict * fix lint * setting max duration * lint * change context size to 1 * update result * update hf link * fix decoding comment * add more decoding methods * update result * change context-size 2 default
95 lines
2.5 KiB
Python
95 lines
2.5 KiB
Python
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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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 words.txt without ids:
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- words_no_ids.txt
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and generates the new words.txt with related ids.
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- words.txt
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"""
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import argparse
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import logging
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from tqdm import tqdm
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def get_parser():
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parser = argparse.ArgumentParser(
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description="Prepare words.txt",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter,
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)
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parser.add_argument(
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"--input-file",
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default="data/lang_char/words_no_ids.txt",
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type=str,
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help="the words file without ids for WenetSpeech",
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)
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parser.add_argument(
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"--output-file",
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default="data/lang_char/words.txt",
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type=str,
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help="the words file with ids for WenetSpeech",
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)
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return parser
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def main():
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parser = get_parser()
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args = parser.parse_args()
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input_file = args.input_file
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output_file = args.output_file
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f = open(input_file, "r", encoding="utf-8")
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lines = f.readlines()
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new_lines = []
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add_words = ["<eps> 0", "!SIL 1", "<SPOKEN_NOISE> 2", "<UNK> 3"]
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new_lines.extend(add_words)
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logging.info("Starting reading the input file")
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for i in tqdm(range(len(lines))):
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x = lines[i]
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idx = 4 + i
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new_line = str(x.strip("\n")) + " " + str(idx)
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new_lines.append(new_line)
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logging.info("Starting writing the words.txt")
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f_out = open(output_file, "w", encoding="utf-8")
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# LG decoding needs below symbols.
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id1, id2, id3 = (
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str(len(new_lines)),
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str(len(new_lines) + 1),
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str(len(new_lines) + 2),
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)
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add_words = ["#0 " + id1, "<s> " + id2, "</s> " + id3]
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new_lines.extend(add_words)
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for line in new_lines:
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f_out.write(line)
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f_out.write("\n")
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if __name__ == "__main__":
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main()
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