mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-13 20:12:24 +00:00
76 lines
2.4 KiB
Python
Executable File
76 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
# Copyright 2023 Xiaomi Corp. (authors: Wei Kang)
|
|
#
|
|
# 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.
|
|
|
|
import gzip
|
|
import json
|
|
import re
|
|
import sys
|
|
from pathlib import Path
|
|
|
|
from tn.english.normalizer import Normalizer as EnNormalizer
|
|
|
|
from icefall.utils import str2bool
|
|
|
|
|
|
class TextNormlizer:
|
|
def __init__(self):
|
|
self.en_tn_model = EnNormalizer()
|
|
|
|
def __call__(self, text):
|
|
# brackets
|
|
# Always text inside brackets with numbers in them. Usually corresponds to "(Sam 23:17)"
|
|
text = re.sub(r"\([^\)]*\d[^\)]*\)", " ", text)
|
|
text = re.sub(r"\([^\)]*\)", " ", text)
|
|
|
|
# Apply mappings
|
|
table = str.maketrans("’‘，。；？！（）：-《》、“”【】", "'',.;?!(): <>/\"\"[]")
|
|
text = text.translate(table)
|
|
|
|
# Remove extra spaces
|
|
text = re.sub(r"\s+", " ", text).strip()
|
|
normalized_text = re.sub(r"\s+", " ", normalized_text).strip()
|
|
|
|
text = self.en_tn_model.normalize(text)
|
|
return text.strip()
|
|
|
|
|
|
# Assign text of the supervisions and remove unnecessary entries.
|
|
def main():
|
|
assert (
|
|
len(sys.argv) == 4
|
|
), "Usage: ./local/prepare_manifest.py INPUT OUTPUT_DIR KEEP_CUSTOM_FIELDS"
|
|
fname = Path(sys.argv[1]).name
|
|
oname = Path(sys.argv[2]) / fname
|
|
keep_custom_fields = str2bool(sys.argv[3])
|
|
|
|
tn = TextNormlizer()
|
|
|
|
with gzip.open(sys.argv[1], "r") as fin, gzip.open(oname, "w") as fout:
|
|
for line in fin:
|
|
cut = json.loads(line)
|
|
cut["supervisions"][0]["text"] = tn(
|
|
cut["supervisions"][0]["custom"]["texts"][0]
|
|
)
|
|
if not keep_custom_fields:
|
|
del cut["supervisions"][0]["custom"]
|
|
del cut["custom"]
|
|
fout.write((json.dumps(cut) + "\n").encode())
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|