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- import os
- import argparse
- from tqdm import tqdm
- from random import shuffle
- import json
-
-
- if __name__ == "__main__":
- parser = argparse.ArgumentParser()
- parser.add_argument("--train_list", type=str, default="./filelists/train.txt", help="path to train list")
- parser.add_argument("--val_list", type=str, default="./filelists/val.txt", help="path to val list")
- parser.add_argument("--test_list", type=str, default="./filelists/test.txt", help="path to test list")
- parser.add_argument("--source_dir", type=str, default="./dataset/48k", help="path to source dir")
- args = parser.parse_args()
-
- previous_config = json.load(open("configs/config.json", "rb"))
-
- train = []
- val = []
- test = []
- idx = 0
- spk_dict = previous_config["spk"]
- spk_id = max([i for i in spk_dict.values()]) + 1
- for speaker in tqdm(os.listdir(args.source_dir)):
- if speaker not in spk_dict.keys():
- spk_dict[speaker] = spk_id
- spk_id += 1
- wavs = [os.path.join(args.source_dir, speaker, i)for i in os.listdir(os.path.join(args.source_dir, speaker))]
- wavs = [i for i in wavs if i.endswith("wav")]
- shuffle(wavs)
- train += wavs[2:-10]
- val += wavs[:2]
- test += wavs[-10:]
-
- assert previous_config["model"]["n_speakers"] > len(spk_dict.keys())
- shuffle(train)
- shuffle(val)
- shuffle(test)
-
- print("Writing", args.train_list)
- with open(args.train_list, "w") as f:
- for fname in tqdm(train):
- wavpath = fname
- f.write(wavpath + "\n")
-
- print("Writing", args.val_list)
- with open(args.val_list, "w") as f:
- for fname in tqdm(val):
- wavpath = fname
- f.write(wavpath + "\n")
-
- print("Writing", args.test_list)
- with open(args.test_list, "w") as f:
- for fname in tqdm(test):
- wavpath = fname
- f.write(wavpath + "\n")
-
- previous_config["spk"] = spk_dict
-
- print("Writing configs/config.json")
- with open("configs/config.json", "w") as f:
- json.dump(previous_config, f, indent=2)
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