You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
86 lines
2.8 KiB
86 lines
2.8 KiB
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
|
|
#
|
|
# 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 os
|
|
from operator import itemgetter
|
|
from pathlib import Path
|
|
|
|
import jsonlines
|
|
import numpy as np
|
|
|
|
|
|
def main():
|
|
# parse config and args
|
|
parser = argparse.ArgumentParser(
|
|
description="Preprocess audio and then extract features .")
|
|
|
|
parser.add_argument(
|
|
"--old-dump-dir",
|
|
default=None,
|
|
type=str,
|
|
help="directory to dump feature files.")
|
|
parser.add_argument(
|
|
"--dump-dir",
|
|
type=str,
|
|
required=True,
|
|
help="directory to finetune dump feature files.")
|
|
args = parser.parse_args()
|
|
|
|
old_dump_dir = Path(args.old_dump_dir).expanduser()
|
|
old_dump_dir = old_dump_dir.resolve()
|
|
dump_dir = Path(args.dump_dir).expanduser()
|
|
# use absolute path
|
|
dump_dir = dump_dir.resolve()
|
|
dump_dir.mkdir(parents=True, exist_ok=True)
|
|
|
|
assert old_dump_dir.is_dir()
|
|
assert dump_dir.is_dir()
|
|
|
|
for sub in ["train", "dev", "test"]:
|
|
# 把 old_dump_dir 里面的 *-wave.npy 软连接到 dump_dir 的对应位置
|
|
output_dir = dump_dir / sub
|
|
output_dir.mkdir(parents=True, exist_ok=True)
|
|
results = []
|
|
for name in os.listdir(output_dir / "raw"):
|
|
# 003918_feats.npy
|
|
utt_id = name.split("_")[0]
|
|
mel_path = output_dir / ("raw/" + name)
|
|
gen_mel = np.load(mel_path)
|
|
wave_name = utt_id + "_wave.npy"
|
|
wav = np.load(old_dump_dir / sub / ("raw/" + wave_name))
|
|
os.symlink(old_dump_dir / sub / ("raw/" + wave_name),
|
|
output_dir / ("raw/" + wave_name))
|
|
num_sample = wav.shape[0]
|
|
num_frames = gen_mel.shape[0]
|
|
wav_path = output_dir / ("raw/" + wave_name)
|
|
|
|
record = {
|
|
"utt_id": utt_id,
|
|
"num_samples": num_sample,
|
|
"num_frames": num_frames,
|
|
"feats": str(mel_path),
|
|
"wave": str(wav_path),
|
|
}
|
|
results.append(record)
|
|
|
|
results.sort(key=itemgetter("utt_id"))
|
|
|
|
with jsonlines.open(output_dir / "raw/metadata.jsonl", 'w') as writer:
|
|
for item in results:
|
|
writer.write(item)
|
|
|
|
|
|
if __name__ == "__main__":
|
|
main()
|