1 code implementation • 25 Mar 2024 • Artem Khrapov, Vadim Popov, Tasnima Sadekova, Assel Yermekova, Mikhail Kudinov
Diffusion models are known to be vulnerable to outliers in training data.
4 code implementations • ICLR 2022 • Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov, Jiansheng Wei
Voice conversion is a common speech synthesis task which can be solved in different ways depending on a particular real-world scenario.
6 code implementations • 13 May 2021 • Vadim Popov, Ivan Vovk, Vladimir Gogoryan, Tasnima Sadekova, Mikhail Kudinov
Recently, denoising diffusion probabilistic models and generative score matching have shown high potential in modelling complex data distributions while stochastic calculus has provided a unified point of view on these techniques allowing for flexible inference schemes.
Ranked #3 on Text-To-Speech Synthesis on LJSpeech (using extra training data)