115 citations · 587 across the 62 of their papers we have counts for
9 papers · 1 filter
Denoising Diffusion Error Correction Codes
Yoni Choukroun, Lior Wolf
Error correction code (ECC) is an integral part of the physical communication layer, ensuring reliable data transfer over noisy channels. Recently, neural decoders have demonstrate…
Semi-supervised Learning of Partial Differential Operators and Dynamical Flows
Michael Rotman, Amit Dekel, Ran Ilan Ber +2
The evolution of dynamical systems is generically governed by nonlinear partial differential equations (PDEs), whose solution, in a simulation framework, requires vast amounts of c…
Zero-Shot Voice Conditioning for Denoising Diffusion TTS Models
Alon Levkovitch, Eliya Nachmani, Lior Wolf
We present a novel way of conditioning a pretrained denoising diffusion speech model to produce speech in the voice of a novel person unseen during training. The method requires a…
Neural Inverse Kinematics
Raphael Bensadoun, Shir Gur, Nitsan Blau +2
Inverse kinematic (IK) methods recover the parameters of the joints, given the desired position of selected elements in the kinematic chain. While the problem is well-defined and l…
SepIt: Approaching a Single Channel Speech Separation Bound
Shahar Lutati, Eliya Nachmani, Lior Wolf
We present an upper bound for the Single Channel Speech Separation task, which is based on an assumption regarding the nature of short segments of speech. Using the bound, we are a…
End to End Lip Synchronization with a Temporal AutoEncoder
Yoav Shalev, Lior Wolf
We study the problem of syncing the lip movement in a video with the audio stream. Our solution finds an optimal alignment using a dual-domain recurrent neural network that is trai…