mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-08 09:32:20 +00:00
96 lines
2.4 KiB
Python
Executable File
96 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
# Copyright 2021 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 supervisions json dir "data/manifests"
|
|
consisting of supervisions_train.json and does the following:
|
|
|
|
1. Generate train.text.
|
|
|
|
"""
|
|
import argparse
|
|
import json
|
|
import logging
|
|
from pathlib import Path
|
|
|
|
|
|
def get_args():
|
|
parser = argparse.ArgumentParser()
|
|
parser.add_argument(
|
|
"--manifests-dir",
|
|
type=str,
|
|
help="""Input directory.
|
|
""",
|
|
)
|
|
parser.add_argument(
|
|
"--lang-dir",
|
|
type=str,
|
|
help="""Output directory.
|
|
""",
|
|
)
|
|
|
|
return parser.parse_args()
|
|
|
|
|
|
def prepare_transcripts(manifests_dir: str, lang_dir: str):
|
|
"""
|
|
Args:
|
|
manifests_dir:
|
|
The manifests directory, e.g., data/manifests.
|
|
lang_dir:
|
|
The language directory, e.g., data/lang_phone.
|
|
|
|
Return:
|
|
The train.text in lang_dir.
|
|
"""
|
|
texts = []
|
|
|
|
supervisions_train = Path(manifests_dir) / "supervisions_train.json"
|
|
train_text = Path(lang_dir) / "train.text"
|
|
|
|
logging.info(f"Loading {supervisions_train}!")
|
|
with open(supervisions_train, "r") as load_f:
|
|
load_dicts = json.load(load_f)
|
|
for load_dict in load_dicts:
|
|
text = load_dict["text"]
|
|
texts.append(text)
|
|
|
|
with open(train_text, "w") as f:
|
|
for text in texts:
|
|
f.write(text)
|
|
f.write("\n")
|
|
|
|
|
|
def main():
|
|
args = get_args()
|
|
manifests_dir = Path(args.manifests_dir)
|
|
lang_dir = Path(args.lang_dir)
|
|
|
|
logging.info("Generating train.text")
|
|
prepare_transcripts(manifests_dir, lang_dir)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
formatter = (
|
|
"%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
|
|
)
|
|
|
|
logging.basicConfig(format=formatter, level=logging.INFO)
|
|
|
|
main()
|