Comments (3)
I have the same question @auspicious3000
Here you use the one-hot encoded embedding with a lent of 82 (the number of speakers it was pretrained), but could you generate a zeros-shot general embedding like in AutoVC. If I am correct the size of the used embedding was larger in that, I assume you cannot use that here.
So to wrap up: this method with the pretrained weights works only on the 82 speakers it was trained and conditioned on if we consider only the timbre conversion?
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@nischal-sanil did you make it work?
can you check my question please? #28
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@terbed Yes. Unless you retrain the model.
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Related Issues (20)
- Content encoder definition HOT 2
- Obout downsampling implementation. HOT 1
- about Downsample Factor HOT 1
- Training for encoder (i.e. embedding) usage only? HOT 1
- Only works for speakers in the training dataset?
- How to build the validation data? HOT 4
- How to synthesis a speech which I need? HOT 1
- Array error HOT 1
- Question about padding HOT 3
- Could you show me the codes about how to draw the pitch contours picture?
- Is it very slow for the Wavenet vocoder to synthesize a voice HOT 5
- checkpoint_step001000000_ema.pth is missing HOT 1
- The program has an error message: ValueError: high <= 0 HOT 2
- Cuda error HOT 1
- 其他数据集 HOT 5
- 音色迁移的问题 HOT 4
- 关于编码器的问题 HOT 2
- 关于demo.ipynb的一些问题 HOT 5
- 关于训练效果 HOT 1
- Using encoder as speaker embedding extractor 关于使用编码器作为说话人嵌入提取器 HOT 4
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