人物介绍
老爹是《成龙历险记》中的一个重要角色，他是来自中国香港的一位老人，同时也是成龙的叔叔和古董店老板。老爹性格啰嗦，但非常疼爱侄孙女小玉，并且拥有深厚的魔法造诣，是方大法师的徒弟，在气魔法方面有着很高的成就。他的口头禅是“还有一件事”，经常在关键时刻补充重要信息或指示。
在声音特点上，老爹的配音通常带有浓厚的中文口音，语调抑扬顿挫，充满了幽默感和亲切感。他的声音有时显得有些古板和守旧，但又不失为一位智慧长者的风范。在表达情感时，老爹的声音能够很好地传达出他的喜怒哀乐，使得观众能够深入地理解他的内心世界。
GPT-SOVITS模型配音效果
鉴于GPT-SOVITS模型自回归特性，即其配音情绪高度依赖于所提供的参考音频，特此说明：本视频所展示的配音情绪仅为采用某一特定参考音频时的效果示例，并不全面反映GPT-SOVITS模型能够生成的全部情绪范围及最终配音质量的上限。模型的最终表现将随着不同参考音频的输入而展现出多样化。
模型下载
训练日志
2024-07-06 11:14:20,878 laodie INFO {'train': {'log_interval': 100, 'eval_interval': 500, 'seed': 1234, 'epochs': 20, 'learning_rate': 0.0001, 'betas': [0.8, 0.99], 'eps': 1e-09, 'batch_size': 20, 'fp16_run': True, 'lr_decay': 0.999875, 'segment_size': 20480, 'init_lr_ratio': 1, 'warmup_epochs': 0, 'c_mel': 45, 'c_kl': 1.0, 'text_low_lr_rate': 0.4, 'pretrained_s2G': 'GPT_SoVITS/pretrained_models/s2G488k.pth', 'pretrained_s2D': 'GPT_SoVITS/pretrained_models/s2D488k.pth', 'if_save_latest': True, 'if_save_every_weights': True, 'save_every_epoch': 10, 'gpu_numbers': '0'}, 'data': {'max_wav_value': 32768.0, 'sampling_rate': 32000, 'filter_lenlaodieh': 2048, 'hop_lenlaodieh': 640, 'win_lenlaodieh': 2048, 'n_mel_channels': 128, 'mel_fmin': 0.0, 'mel_fmax': None, 'add_blank': True, 'n_speakers': 300, 'cleaned_text': True, 'exp_dir': 'logs/laodie'}, 'model': {'inter_channels': 192, 'hidden_channels': 192, 'filter_channels': 768, 'n_heads': 2, 'n_layers': 6, 'kernel_size': 3, 'p_dropout': 0.1, 'resblock': '1', 'resblock_kernel_sizes': [3, 7, 11], 'resblock_dilation_sizes': [[1, 3, 5], [1, 3, 5], [1, 3, 5]], 'upsample_rates': [10, 8, 2, 2, 2], 'upsample_initial_channel': 512, 'upsample_kernel_sizes': [16, 16, 8, 2, 2], 'n_layers_q': 3, 'use_spectral_norm': False, 'gin_channels': 512, 'semantic_frame_rate': '25hz', 'freeze_quantizer': True}, 's2_ckpt_dir': 'logs/laodie', 'content_module': 'cnhubert', 'save_weight_dir': 'SoVITS_weights', 'name': 'laodie', 'pretrain': None, 'resume_step': None}
2024-07-06 11:14:22,336 laodie INFO loaded pretrained GPT_SoVITS/pretrained_models/s2G488k.pth
2024-07-06 11:14:22,539 laodie INFO loaded pretrained GPT_SoVITS/pretrained_models/s2D488k.pth
2024-07-06 11:14:54,947 laodie INFO Train Epoch: 1 [0%]
2024-07-06 11:14:54,948 laodie INFO [2.5188231468200684, 2.587672233581543, 7.5846028327941895, 21.921340942382812, 0.0, 2.863032102584839, 0, 9.99875e-05]
2024-07-06 11:15:08,761 laodie INFO ====> Epoch: 1
2024-07-06 11:15:28,200 laodie INFO ====> Epoch: 2
2024-07-06 11:15:44,386 laodie INFO ====> Epoch: 3
2024-07-06 11:16:00,712 laodie INFO ====> Epoch: 4
2024-07-06 11:16:17,322 laodie INFO ====> Epoch: 5
2024-07-06 11:16:31,917 laodie INFO ====> Epoch: 6
2024-07-06 11:16:47,588 laodie INFO ====> Epoch: 7
2024-07-06 11:17:03,477 laodie INFO ====> Epoch: 8
2024-07-06 11:17:20,315 laodie INFO ====> Epoch: 9
2024-07-06 11:17:35,272 laodie INFO Saving model and optimizer state at iteration 10 to logs/laodie/logs_s2\G_233333333333.pth
2024-07-06 11:17:36,166 laodie INFO Saving model and optimizer state at iteration 10 to logs/laodie/logs_s2\D_233333333333.pth
2024-07-06 11:17:38,124 laodie INFO saving ckpt laodie_e10:Success.
2024-07-06 11:17:38,124 laodie INFO ====> Epoch: 10
2024-07-06 11:17:54,918 laodie INFO ====> Epoch: 11
2024-07-06 11:18:01,914 laodie INFO Train Epoch: 12 [11%]
2024-07-06 11:18:01,915 laodie INFO [2.7913379669189453, 2.175286293029785, 8.353038787841797, 20.010730743408203, 0.0, 2.0773844718933105, 100, 9.98501030820433e-05]
2024-07-06 11:18:13,304 laodie INFO ====> Epoch: 12
2024-07-06 11:18:31,755 laodie INFO ====> Epoch: 13
2024-07-06 11:18:50,774 laodie INFO ====> Epoch: 14
2024-07-06 11:19:05,630 laodie INFO ====> Epoch: 15
2024-07-06 11:19:24,356 laodie INFO ====> Epoch: 16
2024-07-06 11:19:39,803 laodie INFO ====> Epoch: 17
2024-07-06 11:19:53,730 laodie INFO ====> Epoch: 18
2024-07-06 11:20:09,730 laodie INFO ====> Epoch: 19
2024-07-06 11:20:25,700 laodie INFO Saving model and optimizer state at iteration 20 to logs/laodie/logs_s2\G_233333333333.pth
2024-07-06 11:20:26,871 laodie INFO Saving model and optimizer state at iteration 20 to logs/laodie/logs_s2\D_233333333333.pth
2024-07-06 11:20:30,170 laodie INFO saving ckpt laodie_e20:Success.
2024-07-06 11:20:30,170 laodie INFO ====> Epoch: 20
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