File size: 3,389 Bytes
d596074 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2022 Xiaomi Corp. (authors: Mingshuang Luo)
#
# See ../../../../LICENSE for clarification regarding multiple authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
This script takes as input "text_full", which includes three transcript files
(train_S, train_M and train_L) for AISHELL4:
- text_full
and generates the output file text_normalize which is implemented
to normalize text:
- text
"""
import argparse
from tqdm import tqdm
def get_parser():
parser = argparse.ArgumentParser(
description="Normalizing for text",
formatter_class=argparse.ArgumentDefaultsHelpFormatter,
)
parser.add_argument(
"--input",
default="data/lang_char/text_full",
type=str,
help="the input text files for AISHELL4",
)
parser.add_argument(
"--output",
default="data/lang_char/text",
type=str,
help="the text implemented with normalizer for AISHELL4",
)
return parser
def text_normalize(str_line: str):
line = str_line.strip().rstrip("\n")
line = line.replace(" ", "")
line = line.replace("<sil>", "")
line = line.replace("<%>", "")
line = line.replace("<->", "")
line = line.replace("<$>", "")
line = line.replace("<#>", "")
line = line.replace("<_>", "")
line = line.replace("<space>", "")
line = line.replace("`", "")
line = line.replace("&", "")
line = line.replace(",", "")
line = line.replace("Ａ", "")
line = line.replace("ａ", "A")
line = line.replace("ｂ", "B")
line = line.replace("ｃ", "C")
line = line.replace("ｋ", "K")
line = line.replace("ｔ", "T")
line = line.replace("，", "")
line = line.replace("丶", "")
line = line.replace("。", "")
line = line.replace("、", "")
line = line.replace("？", "")
line = line.replace("·", "")
line = line.replace("*", "")
line = line.replace("！", "")
line = line.replace("$", "")
line = line.replace("+", "")
line = line.replace("-", "")
line = line.replace("\\", "")
line = line.replace("?", "")
line = line.replace("￥", "")
line = line.replace("%", "")
line = line.replace(".", "")
line = line.replace("<", "")
line = line.replace("＆", "")
line = line.upper()
return line
def main():
parser = get_parser()
args = parser.parse_args()
input_file = args.input
output_file = args.output
f = open(input_file, "r", encoding="utf-8")
lines = f.readlines()
new_lines = []
for i in tqdm(range(len(lines))):
new_line = text_normalize(lines[i])
new_lines.append(new_line)
f_new = open(output_file, "w", encoding="utf-8")
for line in new_lines:
f_new.write(line)
f_new.write("\n")
if __name__ == "__main__":
main()
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