import os import argparse import re from tqdm import tqdm from random import shuffle import json config_template = json.load(open("configs/config.json")) pattern = re.compile(r'^[\.a-zA-Z0-9_\/]+$') 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/44k", help="path to source dir") args = parser.parse_args() train = [] val = [] test = [] idx = 0 spk_dict = {} spk_id = 0 for speaker in tqdm(os.listdir(args.source_dir)): spk_dict[speaker] = spk_id spk_id += 1 wavs = ["/".join([args.source_dir, speaker, i]) for i in os.listdir(os.path.join(args.source_dir, speaker))] for wavpath in wavs: if not pattern.match(wavpath): print(f"warning:文件名{wavpath}中包含非字母数字下划线,可能会导致错误。(也可能不会)") if len(wavs) < 10: print(f"warning:{speaker}数据集数量小于10条,请补充数据") wavs = [i for i in wavs if i.endswith("wav")] shuffle(wavs) train += wavs[2:-2] val += wavs[:2] test += wavs[-2:] 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") config_template["spk"] = spk_dict print("Writing configs/config.json") with open("configs/config.json", "w") as f: json.dump(config_template, f, indent=2)