[P] Voice Conversion VAE-Cycle-GAN on Melspectrograms

• tt-vae-gan

  4 64 1.8 Python

  Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

I've been working on an open source implementation for the past month. The link for it can be found here. But have since been struggling with a load of mode collapse - or the model outputting "blurry" spectrograms not quite capturing the same initial structure as they should.

• CoGAN

  1 284 0.0 Jupyter Notebook

You also set biases to false? At least in CoGAN there are biases. https://github.com/mingyuliutw/CoGAN/blob/master/cogan/models/celeba/celeba.train.ptt

• InfluxDB

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• PyTorch-GAN

  7 15,732 0.0 Python

  PyTorch implementations of Generative Adversarial Networks.

Hi just an update to whom ever faces a similar issue. I've fixed it.The key change was redefining the encoder loss - where kld is defined without logvar (only mu) and the reconstruction loss is defined with L1 rather than MSE. This was a helpful resource on the matter https://github.com/eriklindernoren/PyTorch-GAN/blob/master/implementations/unit/unit.py

Suggest a related project