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In Chinese TTS demo: https://colab.research.google.com/drive/1YpSHRBRPBI7cnTkQn1UcVTWEQVbsUm1S?usp=sharing#scrollTo=BcrLl7j_fbE2.
The wavs in the colab demo seems to have distinct trills and jitter…
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Hello.
In the nvidia tacotron repository, a function that return mel spectrograms of audio first fills it with zeros on both sides. It means that the tacotron is trained to generate mel spectrogra…
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This is not an issue and is more of a discussion. I read the WaveGrad paper today (which may be found [here](https://arxiv.org/pdf/2009.00713.pdf)) and listened to the samples [here](https://wavegrad.…
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Hi,
First of all, thank you for this nice implementation.
I trained the network with default settings and data (~500k iteration), but the results are really unnaturalistic (eg.: [link](https://…
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Erre kíváncsi lennék:
Exploring Weight Agnostic Neural Networks
Tuesday, August 27, 2019
Posted by Adam Gaier, Student Researcher and David Ha, Staff Research Scientist, Google Research, Tokyo
…
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Hey! I'll start by saying I really appreciate all the work you do in implementing papers that don't come with code!
I've noticed in your "config" that in general you use a 22khz sampling rate.
…
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51/51 [00:09
dzlhk updated
3 years ago
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Hi. Did you try fine-tuing HiFi-GAN(https://github.com/jik876/hifi-gan) which can alleviate the metal noise and greatly improve the quality of synthesized voice?
(Generated mels using efficientTTS w…
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hi, this a 48k wav trained 120k steps, you can see the noise above 16kHz. How can I rem…
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Hey! I'm really curious how to get Hi-Fi GAN's first step working, would love any help whatsoever but no worries if you aren't free:
```
Generate mel-spectrograms in numpy format using Tacotron2 w…