178 citations · 496 across the 34 of their papers we have counts for
4 papers · 1 filter
Generalized Multichannel Variational Autoencoder for Underdetermined Source Separation
Shogo Seki, Hirokazu Kameoka, Li Li +2
This paper deals with a multichannel audio source separation problem under underdetermined conditions. Multichannel Non-negative Matrix Factorization (MNMF) is one of powerful appr…
Semi-blind source separation with multichannel variational autoencoder
Hirokazu Kameoka, Li Li, Shota Inoue +1
This paper proposes a multichannel source separation technique called the multichannel variational autoencoder (MVAE) method, which uses a conditional VAE (CVAE) to model and estim…
ACVAE-VC: Non-parallel many-to-many voice conversion with auxiliary classifier variational autoencoder
Hirokazu Kameoka, Takuhiro Kaneko, Kou Tanaka +1
This paper proposes a non-parallel many-to-many voice conversion (VC) method using a variant of the conditional variational autoencoder (VAE) called an auxiliary classifier VAE (AC…
Parallel-Data-Free Voice Conversion Using Cycle-Consistent Adversarial Networks
Takuhiro Kaneko, Hirokazu Kameoka
We propose a parallel-data-free voice-conversion (VC) method that can learn a mapping from source to target speech without relying on parallel data. The proposed method is general…