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Hello. I trained tacotron and WaveNet on small dataset. Tacotron is about 100k, wavenet is about 130k. I use mulaw-quantize and GTA. Is this good result for small dataset or I just need train more? Or…
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Hi, @Sy-Zhang and team.
First of all, thank you for sharing your work!
I have a question using your code.
I am trying to use your model with my visual and text features (using clip)
For char…
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Hi, thanks for this amazing work!
I am interested in your cross-dataset evaluation for TACO and DexYCB. However, I encounter some problems for the DexYCB dataloader and could not reach a satisfying…
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I training tacotron for days on my MAC OS X CPUs, but Synthesis returns the following error.
My system is
Python 3.7
TF 1.13.1
Keras 2.2.2
librosa 0.6.2
Using TensorFlow backend.
loaded m…
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Hello!
Thank you for sharing the implementation. Unfortunately, I ran into a problem while I was following QM9 guide from `README.md`
**Steps taken:**
```
git clone https://github.com/google-r…
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Hello,
I would like to connect a Tacotron2 model to LPCNet.
Is there a way to convert the 80-mel coefficients (output of Taco2) into the 18 Bark scale + 2 pitch parameters (input of LPCNet) ?
…
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environment : tensorflow 1.7.0, cuda 9.0, cudnn 7
I have tried to run train.py, but it is ended right after initiating train.
Here is the log.
Would you help me why it happens?
It stops duri…
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Thanks for the great work! I'm also using FLAN for training, so I'm wondering how to include only tasks that are in Tasksource but not in FLAN.
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File "sample.py", line 1, in
import cPickle as pkl
File "sample.py", line 65, in main
tasks = pkl.load(fin)
UnpicklingError: invalid load key, 'v'.
yaoli updated
8 years ago
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In the ReadMe, it's mentioned
> Convert the data generated at the last step which has .f32 extension to what could be loaded with numpy. I merge it to the Tacotron feeder here and here with the fo…