Comments (10)
Hi,
Are the mel outputs generated compatible with kan-bayashi's ParallelWaveGAN?
We have different train/valid split. But generally, the preprocessing steps is the same and the mean/var of our training very close. So let say, i believe it's compatible, you can use Tacotron, Fastpeech generated from this repo and use pretrained models from ParallelWaveGAN. Even it's not compatible, you still can combine by de-norm my mel-spectrogram based on my stats then re-norm based-on kan-bayashi's Parallelwavegan stats :)).
There's a FastSpeech synthesis example, but not Tacotron2. How to generate speech with the Tacotron2 pretrained model and MelGAN-STFT?.
To know how to inference, you can see detail at decode_tacotron2.py or decoder_melgan.py in examples directory. Melgan-STFT is melgan but training with Multi-resolution STFT loss so it's inference same as Melgan original. I will implement AutoModel Class to inference all combinations in the near future :)). Atleast, i will provide google colab soon.
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okay, let see how mb melgan on this repo help you. It will finish training progress on saturday, i think :D.
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https://drive.google.com/drive/u/1/folders/1kaPXRdLg9gZrll9KtvH3-feOBMM8sn3_
@ZDisket
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@ZDisket https://github.com/dathudeptrai/TensorflowTTS/blob/master/notebooks/tacotron2_inference.ipynb. Just in case :D
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@dathudeptrai
Nice. It seems pretty similar to my notebook.
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@ZDisket great :)). I just uploaded Tacotron pretrained 120K. I'm training multiband melgan, it will 3x faster and improve quality compared with melgan-stft :D.
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@dathudeptrai Very nice, I have a lot of hope for this repo's Multi-Band MelGAN since I can't get kan-bayashi's to work. It'll be optimal for a user-friendly Windows GUI front end. I'll also retrain my Tacotron2 on the new one.
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why mb-melgan on kan-bayashi not worked ?
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@dathudeptrai All my predictions had heavy metallic noise, and when it reaches the discriminator train start steps (on another training run) they all become pure noise.
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@dathudeptrai
I can't see Tacotron2-120k in the pretrained models section in here. Where is it?
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Related Issues (20)
- Multi Speaker Training HOT 1
- Support Arabic Language HOT 2
- Tacotron2 Pre-training have difficulties
- Training Tacotron2 model became so slow after update HOT 1
- How do I get the RTF index HOT 1
- Japanese TTS model HOT 2
- Preprocessing error with ljspeech HOT 6
- tacotron2 parameter confusing, hop size configuration for databaker dataset is 256, not 300 HOT 1
- Installation on MacOS HOT 1
- Hifi-Gan config for Baker dataset HOT 1
- tensorflow-gpu==2.7.0 HOT 15
- Dose it support mutil speaker of chinese language ? HOT 1
- Android release as TTS engine HOT 7
- Train with another dataset HOT 2
- No module named 'tensorflow_tts' HOT 2
- Inference on MB MelGAN sounds great until testing on iOS HOT 3
- TensorFlowTTS support vietnamese HOT 2
- [MB_Melgan] Why is a model trained only generator is better than trained on both?
- support chinese HOT 2
- How to config CMakeLists.txt ? HOT 1
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