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Vadim Popov
Vadim Popov
Huawei Noah's Ark Lab, Moscow
在 huawei.com 的电子邮件经过验证
标题
引用次数
引用次数
年份
Grad-tts: A diffusion probabilistic model for text-to-speech
V Popov, I Vovk, V Gogoryan, T Sadekova, M Kudinov
International Conference on Machine Learning, 8599-8608, 2021
4922021
Diffusion-based voice conversion with fast maximum likelihood sampling scheme
V Popov, I Vovk, V Gogoryan, T Sadekova, M Kudinov, J Wei
arXiv preprint arXiv:2109.13821, 2021
1042021
Gaussian LPCNet for multisample speech synthesis
V Popov, M Kudinov, T Sadekova
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
182020
Distributed fine-tuning of language models on private data
V Popov, M Kudinov, I Piontkovskaya, P Vytovtov, A Nevidomsky
International Conference on Learning Representations, 2018
172018
Fast and Lightweight On-Device TTS with Tacotron2 and LPCNet.
V Popov, S Kamenev, MA Kudinov, S Repyevsky, T Sadekova, V Bushaev, ...
INTERSPEECH, 220-224, 2020
122020
A Unified System for Voice Cloning and Voice Conversion through Diffusion Probabilistic Modeling.
T Sadekova, V Gogoryan, I Vovk, V Popov, MA Kudinov, J Wei
INTERSPEECH, 3003-3007, 2022
102022
Fast Grad-TTS: Towards Efficient Diffusion-Based Speech Generation on CPU.
I Vovk, T Sadekova, V Gogoryan, V Popov, MA Kudinov, J Wei
Interspeech, 838-842, 2022
92022
Optimal transport in diffusion modeling for conversion tasks in audio domain
V Popov, A Amatov, M Kudinov, V Gogoryan, T Sadekova, I Vovk
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023
62023
Differentially private distributed learning for language modeling tasks
V Popov, M Kudinov, I Piontkovskaya, P Vytovtov, A Nevidomsky
arXiv preprint arXiv:1712.07473, 2017
32017
Fine-tuning of language models with discriminator
V Popov, M Kudinov
arXiv preprint arXiv:1811.04623, 2018
22018
Distributed training of machine learning models for personalization
MS Kudinov, I Piontkovskaya, AY Nevidomskii, VS Popov, PK Vytovtov, ...
US Patent App. 17/413,897, 2022
12022
Improving Diffusion Models's Data-Corruption Resistance using Scheduled Pseudo-Huber Loss
A Khrapov, V Popov, T Sadekova, A Yermekova, M Kudinov
arXiv preprint arXiv:2403.16728, 2024
2024
Efficient Strategies of Few-Shot On-Device Voice Cloning
T Sadekova, V Popov, V Gogoryan, I Vovk, A Drogolyub, D Polubotko, ...
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