Technical Program

Paper Detail

Paper:MLSP-L1.5
Session:Deep Learning Applications I
Location:Auditorium 2
Session Time:Tuesday, May 14, 13:30 - 15:30
Presentation Time:Tuesday, May 14, 14:50 - 15:10
Presentation: Lecture
Topic: Machine Learning for Signal Processing: Neural networks and deep learning
Paper Title: ADVERSARIALLY TRAINED AUTOENCODERS FOR PARALLEL-DATA-FREE VOICE CONVERSION
Manuscript Link:  Click here to view manuscript on IEEE Xplore
Authors: Orhan Ocal, University of California, Berkeley, United States; Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Intel AI Lab, United States; Kannan Ramchandran, University of California, Berkeley, United States