训练出来，完全不可用 about emotivoice HOT 10 OPEN

from emotivoice.

Congratulations on your prompt actions regarding voice cloning. It would be helpful if you could provide more details, such as the data you are using, the number of training steps you have completed, and so on.

from emotivoice.

1.我按这个步骤中所说的数据进行训练的：https://github.com/netease-youdao/EmotiVoice/tree/main/data/DataBaker。
其中这两项没执行。

2.此外我改为本地模型训练，修改成以下代码：
train_dataset = Dataset_PromptTTS_JETS(config.train_data_path, config, style_encoder)
#data_sampler = DistributedSampler(train_dataset)
#train_loader = torch.utils.data.DataLoader(
# train_dataset,
# num_workers=8,
# shuffle=False,
# batch_size=config.batch_size,
# collate_fn=train_dataset.TextMelCollate,
# sampler = data_sampler,
#)
# 不再使用 DistributedSampler
train_loader = torch.utils.data.DataLoader(
train_dataset,
#num_workers=8,
num_workers=1,
shuffle=True, # 使用shuffle而不是sampler
batch_size=config.batch_size,
collate_fn=train_dataset.TextMelCollate
)

3.训练了5000步和10000步是一样的效果，没有正常的声音
4.4000步val

from emotivoice.

1.我按这个步骤中所说的数据进行训练的：https://github.com/netease-youdao/EmotiVoice/tree/main/data/DataBaker。 其中这两项没执行。 2.此外我改为本地模型训练，修改成以下代码： train_dataset = Dataset_PromptTTS_JETS(config.train_data_path, config, style_encoder) #data_sampler = DistributedSampler(train_dataset) #train_loader = torch.utils.data.DataLoader( # train_dataset, # num_workers=8, # shuffle=False, # batch_size=config.batch_size, # collate_fn=train_dataset.TextMelCollate, # sampler = data_sampler, #) # 不再使用 DistributedSampler train_loader = torch.utils.data.DataLoader( train_dataset, #num_workers=8, num_workers=1, shuffle=True, # 使用shuffle而不是sampler batch_size=config.batch_size, collate_fn=train_dataset.TextMelCollate )

3.训练了5000步和10000步是一样的效果，没有正常的声音 4.4000步val

For DataBaker, it should work fine. I have attached the results from 5000 steps for your reference.
DataBaker-g_00005000.zip
And I will attempt to replicate the issue based on the modifications you have made.

from emotivoice.

谢谢你的及时回复。我想我要重装下python环境试下，你用哪个版本的pytorch和cuda?

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Some setups for your reference:
cuda 11.8 torch 2.1.1 python 3.10
cuda 11.7 torch 1.13 python 3.8

from emotivoice.

我安装了cuda 11.8 torch 2.1.1 python 3.10，重装环境也不行，我的是windows11,无法用分布式训练。用预训练模型都比训练的好，至少可以出来声音。:(

from emotivoice.

想请问一下你的硬件配置是？10000步大概训练了多久？我的训练了快10个小时了还没出结果。

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训练出来，完全不可用。像哑巴一样，呀呀........，是哈原因差这么远

请问您解决了吗？我遇到了一样的问题，使用https://github.com/netease-youdao/EmotiVoice/tree/main/data/LJspeech提供的步骤，没有执行MFA，微调结果基本没有声音。

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