Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech. - Vadim Popov; Ivan Vovk; Vladimir Gogoryan; Tasnima Sadekova; Mikhail A. Kudinov (ICML, 2021)

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme. - Vadim Popov; Ivan Vovk; Vladimir Gogoryan; Tasnima Sadekova; Mikhail A. Kudinov; Jiansheng Wei (CoRR, 2021)

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme. - Vadim Popov; Ivan Vovk; Vladimir Gogoryan; Tasnima Sadekova; Mikhail Sergeevich Kudinov; Jiansheng Wei (ICLR, 2022)

A Unified System for Voice Cloning and Voice Conversion through Diffusion Probabilistic Modeling. - Tasnima Sadekova; Vladimir Gogoryan; Ivan Vovk; Vadim Popov; Mikhail A. Kudinov; Jiansheng Wei (INTERSPEECH, 2022)

Fast Grad-TTS: Towards Efficient Diffusion-Based Speech Generation on CPU. - Ivan Vovk; Tasnima Sadekova; Vladimir Gogoryan; Vadim Popov; Mikhail A. Kudinov; Jiansheng Wei (INTERSPEECH, 2022)

Optimal Transport in Diffusion Modeling for Conversion Tasks in Audio Domain. - Vadim Popov; Amantur Amatov; Mikhail A. Kudinov; Vladimir Gogoryan; Tasnima Sadekova; Ivan Vovk (ICASSP, 2023)

A Semi-Supervised Deep Learning Approach to Dataset Collection for Query-by-Humming Task. - Amantur Amatov; Dmitry Lamanov; Maksim Titov; Ivan Vovk; Ilya Makarov; Mikhail A. Kudinov (ISMIR, 2023)