Byzantine-Robust Decentralized Federated Learning
Minghong Fang, Zifan Zhang, et al.
CCS 2024
A hybrid voice conversion method was developed that combines frequency warping and unit selection. The system first generates the warped source spectrum by frequency warping and then uses the warped source spectrum as a target to select the target speaker's real spectrum. The target speaker's spectrum then substituted for part of the warped source spectrum before reconstructing the converted speech to improve the similarity over the entire spectrum. Evaluations show that the hybrid voice conversion method improves the similarity more than frequency warping alone.
Minghong Fang, Zifan Zhang, et al.
CCS 2024
M.B. Small, R.M. Potemski
Proceedings of SPIE 1989
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
Mario Blaum, John L. Fan, et al.
IEEE International Symposium on Information Theory - Proceedings