icefall/egs/gigaspeech2/SSL/local/preprocess_gigaspeech2.py
2024-04-02 15:49:03 +08:00

139 lines
4.1 KiB
Python
Executable File

#!/usr/bin/env python3
# Copyright 2024 Xiaomi Corp. (Yifan Yang)
#
# 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 logging
import re
from pathlib import Path
import unicodedata
from lhotse import CutSet, SupervisionSegment
from lhotse.recipes.utils import read_manifests_if_cached
from icefall.utils import str2bool
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument(
"--lang",
type=str,
)
return parser.parse_args()
def normalize_text(
text: str,
lang: str,
) -> str:
text = unicodedata.normalize("NFKC", text)
# Convert to upper case
text = text.upper()
# Remove brackets with content
text = re.sub(r"\([^\)]*\)", " ", text)
# Language-related normalization
if lang == "Thai":
# Digit mapping
text = re.sub(r"\u0030", r"\u0E50", text)
text = re.sub(r"\u0031", r"\u0E51", text)
text = re.sub(r"\u0032", r"\u0E52", text)
text = re.sub(r"\u0033", r"\u0E53", text)
text = re.sub(r"\u0034", r"\u0E54", text)
text = re.sub(r"\u0035", r"\u0E55", text)
text = re.sub(r"\u0036", r"\u0E56", text)
text = re.sub(r"\u0037", r"\u0E57", text)
text = re.sub(r"\u0038", r"\u0E58", text)
text = re.sub(r"\u0039", r"\u0E59", text)
# Currency symbols mapping
text = re.sub(r"\u0024", "ดอลลาร์", text) # $
text = re.sub(r"\u00A3", "ปอนด์", text) # £
text = re.sub(r"\u00A5", "หยวน", text) # ¥
text = re.sub(r"\u20AC", "ยูโร", text) # €
text = re.sub(r"\u0E3F", "บาท", text) # ฿
# Temperature/Angle symbols mapping
text = re.sub(r"\u00B0\u0043", "องศาเซลเซียส", text) # °C
text = re.sub(r"\u00B0\u0046", "องศาฟาเรนไฮต์", text) # °F
text = re.sub(r"\u00B0", "องศา", text) # °
# Remove blank symbols
text = re.sub(r"\s", "", text)
else:
text = re.sub(r"\s+", " ", text).strip()
return text
def preprocess_gigaspeech2(args):
src_dir = Path("data/manifests")
output_dir = Path("data/fbank")
output_dir.mkdir(exist_ok=True)
dataset_parts = ("test",)
logging.info("Loading manifest (may take 4 minutes)")
manifests = read_manifests_if_cached(
dataset_parts=dataset_parts,
output_dir=src_dir,
prefix="gigaspeech2",
suffix="jsonl.gz",
)
assert manifests is not None
assert len(manifests) == len(dataset_parts), (
len(manifests),
len(dataset_parts),
list(manifests.keys()),
dataset_parts,
)
for partition, m in manifests.items():
logging.info(f"Processing {partition}")
raw_cuts_path = output_dir / f"gigaspeech2_cuts_{partition}_raw.jsonl.gz"
if raw_cuts_path.is_file():
logging.info(f"{partition} already exists - skipping")
continue
for sup in m["supervisions"]:
sup.text = normalize_text(sup.text)
logging.info(f"Processing {partition}")
cut_set = CutSet.from_manifests(
recordings=m["recordings"],
supervisions=m["supervisions"],
)
logging.info(f"Saving to {raw_cuts_path}")
cut_set.to_file(raw_cuts_path)
def main():
formatter = "%(asctime)s %(levelname)s [%(filename)s:%(lineno)d] %(message)s"
logging.basicConfig(format=formatter, level=logging.INFO)
args = get_args()
preprocess_gigaspeech2(args)
if __name__ == "__main__":
main()