声音编码训练运行一下命令： C:\ProgramData\Anaconda3\envs\mockingbird\python.exe E:\workspace\MockingBird\control\cli\encoder_train.py my_run E:\datasets\SV2TTS\encoder -m E:\workspace\MockingBird\data\ckpt\encoder --visdom_server http://localhost
，当进行到step:44k,lose:0.1735,Err:0.0144,再收敛会不会过拟合?
还好，看图，跑到70k应该都没啥问题
训练到这个程度: Step 75690 Loss: 0.0675 EER: 0.0063 Step time: mean: 1013ms std: 950ms 可以终止了吗,?手动强制停止程序没问题吧？
您好，我是个新手，好多地方不太明白，我想问一下您如何训练编码器的，我想通过训练编码器来获得我的音频数据的特征向量，我该如何做呢？
@hujb2000 同样问题，如何训练编码器 (mocking2) F:\LSX\MockingBird>python F:\LSX\MockingBird\control\cli\encoder_train.py qh F:\LSX\MockingBird\SV2TTS\encoder -m F:\LSX\MockingBird\data\ckpt\encoder --no_visdom Arguments: run_id: qh clean_data_root: F:\LSX\MockingBird\SV2TTS\encoder models_dir: F:\LSX\MockingBird\data\ckpt\encoder vis_every: 10 umap_every: 100 save_every: 500 backup_every: 7500 force_restart: False visdom_server: http://localhost no_visdom: True
No model "qh" found, starting training from scratch.
你完成了如何训练编码器的命令吗，我试了很多次没有用