init

resample.py

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+import os
+import argparse
+import librosa
+import numpy as np
+from multiprocessing import Pool, cpu_count
+
+import soundfile
+from scipy.io import wavfile
+from tqdm import tqdm
+
+
+def process(item):
+    spkdir, wav_name, args = item
+    # speaker 's5', 'p280', 'p315' are excluded,
+    speaker = spkdir.replace("\\", "/").split("/")[-1]
+    wav_path = os.path.join(args.in_dir, speaker, wav_name)
+    if os.path.exists(wav_path) and '.wav' in wav_path:
+        os.makedirs(os.path.join(args.out_dir2, speaker), exist_ok=True)
+        wav, sr = librosa.load(wav_path, sr=args.sr2)
+        soundfile.write(
+            os.path.join(args.out_dir2, speaker, wav_name),
+            wav,
+            sr
+        )
+
+
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--sr2", type=int, default=22050, help="sampling rate")
+    parser.add_argument("--in_dir", type=str, default="./raw", help="path to source dir")
+    parser.add_argument("--out_dir2", type=str, default="./dataset", help="path to target dir")
+    args = parser.parse_args()
+    processs = 8
+    pool = Pool(processes=processs)
+
+    for speaker in os.listdir(args.in_dir):
+        spk_dir = os.path.join(args.in_dir, speaker)
+        if os.path.isdir(spk_dir):
+            print(spk_dir)
+            for _ in tqdm(pool.imap_unordered(process, [(spk_dir, i, args) for i in os.listdir(spk_dir) if i.endswith("wav")])):
+                pass