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Great work!
This work shows an efficient GAN-based vocoder pipeline. However, based on my experiments and the official released results, I can still hear unstable vibration in the samples. What's more, the inferences on data which is not in the training domain are no so good.
Is there any idea that how we can improve this, and achieve effects comparable to other vocoders like wavernn or lpcnet?
The text was updated successfully, but these errors were encountered:
Great work!
This work shows an efficient GAN-based vocoder pipeline. However, based on my experiments and the official released results, I can still hear unstable vibration in the samples. What's more, the inferences on data which is not in the training domain are no so good.
Is there any idea that how we can improve this, and achieve effects comparable to other vocoders like wavernn or lpcnet?
The text was updated successfully, but these errors were encountered: