Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion

9 May 2019Orhan OcalOguz H. ElibolGokce KeskinCory StephensonAnil ThomasKannan Ramchandran

We present a method for converting the voices between a set of speakers. Our method is based on training multiple autoencoder paths, where there is a single speaker-independent encoder and multiple speaker-dependent decoders... (read more)

PDF Abstract


No code implementations yet. Submit your code now

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.