F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder

K Qian, Z Jin, M Hasegawa-Johnson… - ICASSP 2020-2020 …, 2020 - ieeexplore.ieee.org
Non-parallel many-to-many voice conversion remains an interesting but challenging speech
processing task. Many style-transfer-inspired methods such as generative adversarial …

F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder

K Qian, Z Jin, M Hasegawa-Johnson… - … on Acoustics, Speech …, 2020 - experts.illinois.edu
Non-parallel many-to-many voice conversion remains an interesting but challenging speech
processing task. Many style-transfer-inspired methods such as generative adversarial …

F0-Consistent Many-To-Many Non-Parallel Voice Conversion Via Conditional Autoencoder

K Qian, Z Jin, M Hasegawa-Johnson, GJ Mysore - IEEE ICASSP 2020, 2020 - par.nsf.gov
Non-parallel many-to-many voice conversion remains an interesting but challenging speech
processing task. Many style-transfer-inspired methods such as generative adversarial …

F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder

K Qian, Z Jin, M Hasegawa-Johnson… - arXiv e …, 2020 - ui.adsabs.harvard.edu
Non-parallel many-to-many voice conversion remains an interesting but challenging speech
processing task. Many style-transfer-inspired methods such as generative adversarial …

F0-consistent many-to-many non-parallel voice conversion via conditional autoencoder

K Qian, Z Jin, M Hasegawa-Johnson… - arXiv preprint arXiv …, 2020 - arxiv.org
Non-parallel many-to-many voice conversion remains an interesting but challenging speech
processing task. Many style-transfer-inspired methods such as generative adversarial …