8 citations · 8 across the 5 of their papers we have counts for
4 papers · 1 filter
One-Step Voice Conversion by Learning kNN Transport in WavLM Space
Anton Selitskiy, David Millard
Voice conversion (VC) systems fall into two families: non-parametric embedding-space methods, which need no trained model but degrade on short target utterances, and spectrogram-ba…
Discrete optimal transport is a strong audio adversarial attack
Anton Selitskiy, Akib Shahriyar, Shaikh Akib Shahriyar +1
In this paper, we investigate discrete optimal transport (DOT) as a black-box attack against modern automatic speaker verification (ASV) and anti-spoofing countermeasure (CM) syste…
Discrete Optimal Transport and Voice Conversion
Anton Selitskiy, Maitreya Kocharekar
We propose kDOT, a discrete optimal transport (OT) framework for voice conversion (VC) operating in a pretrained speech embedding space. In contrast to the averaging strategies use…
Music Source Separation with Generative Flow
Ge Zhu, Jordan Darefsky, Fei Jiang +2
Fully-supervised models for source separation are trained on parallel mixture-source data and are currently state-of-the-art. However, such parallel data is often difficult to obta…