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| # Copyright (c) 2023 Amphion. | |
| # | |
| # This source code is licensed under the MIT license found in the | |
| # LICENSE file in the root directory of this source tree. | |
| import os | |
| import json | |
| import torchaudio | |
| from tqdm import tqdm | |
| from glob import glob | |
| from utils.util import has_existed | |
| def main(output_path, dataset_path): | |
| print("-" * 10) | |
| print("Dataset splits for ljspeech...\n") | |
| save_dir = os.path.join(output_path, "ljspeech") | |
| ljspeech_path = dataset_path | |
| wave_files = glob(ljspeech_path + "/wavs/*.wav") | |
| train_output_file = os.path.join(save_dir, "train.json") | |
| test_output_file = os.path.join(save_dir, "test.json") | |
| if has_existed(train_output_file): | |
| return | |
| utts = [] | |
| for wave_file in tqdm(wave_files): | |
| res = { | |
| "Dataset": "ljspeech", | |
| "Singer": "female1", | |
| "Uid": "{}".format(wave_file.split("/")[-1].split(".")[0]), | |
| } | |
| res["Path"] = wave_file | |
| assert os.path.exists(res["Path"]) | |
| waveform, sample_rate = torchaudio.load(res["Path"]) | |
| duration = waveform.size(-1) / sample_rate | |
| res["Duration"] = duration | |
| if duration <= 1e-8: | |
| continue | |
| utts.append(res) | |
| test_length = len(utts) // 20 | |
| train_utts = [] | |
| train_index_count = 0 | |
| train_total_duration = 0 | |
| for i in tqdm(range(len(utts) - test_length)): | |
| tmp = utts[i] | |
| tmp["index"] = train_index_count | |
| train_index_count += 1 | |
| train_total_duration += tmp["Duration"] | |
| train_utts.append(tmp) | |
| test_utts = [] | |
| test_index_count = 0 | |
| test_total_duration = 0 | |
| for i in tqdm(range(len(utts) - test_length, len(utts))): | |
| tmp = utts[i] | |
| tmp["index"] = test_index_count | |
| test_index_count += 1 | |
| test_total_duration += tmp["Duration"] | |
| test_utts.append(tmp) | |
| print("#Train = {}, #Test = {}".format(len(train_utts), len(test_utts))) | |
| print( | |
| "#Train hours= {}, #Test hours= {}".format( | |
| train_total_duration / 3600, test_total_duration / 3600 | |
| ) | |
| ) | |
| # Save | |
| os.makedirs(save_dir, exist_ok=True) | |
| with open(train_output_file, "w") as f: | |
| json.dump(train_utts, f, indent=4, ensure_ascii=False) | |
| with open(test_output_file, "w") as f: | |
| json.dump(test_utts, f, indent=4, ensure_ascii=False) | |