Open WYan123 opened 4 years ago
To train both models sequentially (one after the other):
python train.py --model='Tacotron-2'
Feature prediction model can separately be trained using:
python train.py --model='Tacotron'
checkpoints will be made each 5000 steps and stored under logs-Tacotron folder.
Naturally, training the wavenet separately is done by:
python train.py --model='WaveNet'
logs will be stored inside logs-Wavenet. 请问为什么这个地方训练完Tacontron-2,还要训练tacotron呢?不是直接训练Wavenet
那个是指可以分开/同时训练 Tacotron 和 WaveNet。如果 model 设为 Tacotron-2 的话就是按顺序训练两个模型,理论上音质更好。
我现在训练完Tacotron-2了,可以直接训练Wavenet么?应该没必要训练tacotron吧,谢谢您
To train both models sequentially (one after the other):
python train.py --model='Tacotron-2'
Feature prediction model can separately be trained using:
python train.py --model='Tacotron'
checkpoints will be made each 5000 steps and stored under logs-Tacotron folder.
Naturally, training the wavenet separately is done by:
python train.py --model='WaveNet'
logs will be stored inside logs-Wavenet. 请问为什么这个地方训练完Tacontron-2,还要训练tacotron呢?不是直接训练Wavenet