mirror of
https://github.com/k2-fsa/icefall.git
synced 2025-08-09 01:52:41 +00:00
* Add soft links in pruned_transducer_stateless7 for CommonVoice * Add python files * Update prepare.sh * Update normalization * Fix for soft links * Add some docs * Add export * Update egs/commonvoice/ASR/RESULTS.md Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com> * Add export for onnx --------- Co-authored-by: Fangjun Kuang <csukuangfj@gmail.com>
131 lines
3.6 KiB
Python
Executable File
131 lines
3.6 KiB
Python
Executable File
#!/usr/bin/env python3
|
|
# Copyright 2023 Xiaomi Corp. (authors: 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 argparse
|
|
import logging
|
|
import re
|
|
from pathlib import Path
|
|
from typing import Optional
|
|
|
|
from lhotse import CutSet, SupervisionSegment
|
|
from lhotse.recipes.utils import read_manifests_if_cached
|
|
|
|
|
|
def get_args():
|
|
parser = argparse.ArgumentParser()
|
|
|
|
parser.add_argument(
|
|
"--dataset",
|
|
type=str,
|
|
help="""Dataset parts to compute fbank. If None, we will use all""",
|
|
)
|
|
|
|
parser.add_argument(
|
|
"--language",
|
|
type=str,
|
|
help="""Language of Common Voice""",
|
|
)
|
|
|
|
return parser.parse_args()
|
|
|
|
|
|
def normalize_text(utt: str) -> str:
|
|
utt = re.sub(r"[{0}]+".format("-"), " ", utt)
|
|
return re.sub(r"[^a-zA-Z\s]", "", utt).upper()
|
|
|
|
|
|
def preprocess_commonvoice(
|
|
language: str,
|
|
dataset: Optional[str] = None,
|
|
):
|
|
src_dir = Path(f"data/{language}/manifests")
|
|
output_dir = Path(f"data/{language}/fbank")
|
|
output_dir.mkdir(exist_ok=True)
|
|
|
|
if dataset is None:
|
|
dataset_parts = (
|
|
"dev",
|
|
"test",
|
|
"train",
|
|
)
|
|
else:
|
|
dataset_parts = dataset.split(" ", -1)
|
|
|
|
logging.info("Loading manifest")
|
|
prefix = f"cv-{language}"
|
|
suffix = "jsonl.gz"
|
|
manifests = read_manifests_if_cached(
|
|
dataset_parts=dataset_parts,
|
|
output_dir=src_dir,
|
|
suffix=suffix,
|
|
prefix=prefix,
|
|
)
|
|
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"{prefix}_cuts_{partition}_raw.{suffix}"
|
|
if raw_cuts_path.is_file():
|
|
logging.info(f"{partition} already exists - skipping")
|
|
continue
|
|
|
|
logging.info(f"Normalizing text in {partition}")
|
|
for sup in m["supervisions"]:
|
|
text = str(sup.text)
|
|
orig_text = text
|
|
sup.text = normalize_text(sup.text)
|
|
text = str(sup.text)
|
|
if len(orig_text) != len(text):
|
|
logging.info(
|
|
f"\nOriginal text vs normalized text:\n{orig_text}\n{text}"
|
|
)
|
|
|
|
# Create long-recording cut manifests.
|
|
cut_set = CutSet.from_manifests(
|
|
recordings=m["recordings"],
|
|
supervisions=m["supervisions"],
|
|
).resample(16000)
|
|
|
|
# Run data augmentation that needs to be done in the
|
|
# time domain.
|
|
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()
|
|
logging.info(vars(args))
|
|
preprocess_commonvoice(
|
|
language=args.language,
|
|
dataset=args.dataset,
|
|
)
|
|
logging.info("Done")
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|