expressive_tacotron
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Kyubyong
Tensorflow Implementation of Expressive Tacotron
(tf-gpu) [pranaw@login expressive_tacotron-master]$ python train.py Traceback (most recent call last): File "train.py", line 101, in g = Graph(); print("Training Graph loaded") File "train.py", line 35, in __init__ self.x, self.y, self.z,...
from where shall i run step 3 as mentioned by you : STEP 3. Run python eval.py regularly during training.
I have checked your sample result of 420k trainning,and tried align the referr sound and the target sound,it seems that they are much different. So i really confused how the...
In addition to rhythm, can this model control the emotion of the audio? Is there an example?
The prosody is not clear for independent reference audio. It should be sorted to use text-dependent reference audio. It seems that you have omitted this partial code when experimenting with...
I really want to know the audio quality will be achieved after 200 steps.
Just like the [tacotron](https://github.com/Kyubyong/tacotron#pretrained-files) can someone share the pretrained model(on LJ Speech Dataset) for this as well?
@Kyubyong I'm able to run train.py successfully, but there is no checkpoints available in logdir, so unable to run synthesize.py I have changed parameters such as: lr = 0.9 #...
Thank you very much for your contribution. I have trained the model on `LJ Speech` for **835k**. However, the results are not as good as the samples you provided for...
I have trained the model on LJ Speech for around 670k steps. When using `python synthesize.py` command I have received this error. ``` Graph loaded 2018-04-25 19:19:45.131340: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your...