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import os
import argparse
import librosa
from multiprocessing import Pool, cpu_count
import soundfile
from tqdm import tqdm
from config import config
def process(item):
spkdir, wav_name, args = item
wav_path = os.path.join(args.in_dir, spkdir, wav_name)
if os.path.exists(wav_path) and wav_path.lower().endswith(".wav"):
wav, sr = librosa.load(wav_path, sr=args.sr)
soundfile.write(os.path.join(args.out_dir, spkdir, wav_name), wav, sr)
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument(
"--sr",
type=int,
default=config.resample_config.sampling_rate,
help="sampling rate",
)
parser.add_argument(
"--in_dir",
type=str,
default=config.resample_config.in_dir,
help="path to source dir",
)
parser.add_argument(
"--out_dir",
type=str,
default=config.resample_config.out_dir,
help="path to target dir",
)
parser.add_argument(
"--processes",
type=int,
default=0,
help="cpu_processes",
)
args, _ = parser.parse_known_args()
# autodl 无卡模式会识别出46个cpu
if args.processes == 0:
processes = cpu_count() - 2 if cpu_count() > 4 else 1
else:
processes = args.processes
pool = Pool(processes=processes)
tasks = []
for dirpath, _, filenames in os.walk(args.in_dir):
# 子级目录
spk_dir = os.path.relpath(dirpath, args.in_dir)
spk_dir_out = os.path.join(args.out_dir, spk_dir)
if not os.path.isdir(spk_dir_out):
os.makedirs(spk_dir_out, exist_ok=True)
for filename in filenames:
if filename.lower().endswith(".wav"):
twople = (spk_dir, filename, args)
tasks.append(twople)
for _ in tqdm(
pool.imap_unordered(process, tasks),
):
pass
pool.close()
pool.join()
print("音频重采样完毕!")
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