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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **crank: An Open-Source Software for Nonparallel Voice Conversion Based on
Vector-Quantized Variational …
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **Statistical Voice Conversion with Quasi-Periodic WaveNet Vocoder**
- summary: In this paper, we invest…
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If you have any ideas for features you'd like to see, drop them here!
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Hi, In **NATSpeech**, inappropriate dependency versioning constraints can cause risks.
Below are the dependencies and version constraints that the project is using
```
matplotlib
librosa==0.8.…
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Please check whether this paper is about 'Voice Conversion' or not.
## article info.
- title: **MaskCycleGAN-VC: Learning Non-parallel Voice Conversion with Filling in
Frames**
- summary: Non-para…
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I took a raw recording around 853MHz to give you a better idea [here](https://drive.google.com/a/gootz.net/file/d/0B9tDJ_NcZuDtemZBcEluMUYyNlk/view?usp=sharing).
The frequencies are documented [here](…
gbin updated
7 months ago
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Ich habe bisher meinen Encoder und Synthesizer trainiert und alles lief gut. Meinen Encoder habe ich auf c.a 56000 Schritte trainiert und meinen Synthesizer auf c.a 30000 weil er ab da nicht mehr bess…
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How to use C++ to call the trained vits model without relying on the pytorch environment, onnx or torch.jit.trace? Is there an example for reference?
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Since we are using a variety of pretrained vocoders, we need to be able to generate outputs with different spectrogram normalizations. I notice that spectrogram normalization in
https://github.co…