12 citations · 17 across the 2 of their papers we have counts for
3 papers
eess.AS2020★ 5 cited
ConVoice: Real-Time Zero-Shot Voice Style Transfer with Convolutional Network
Yurii Rebryk, Stanislav Beliaev
We propose a neural network for zero-shot voice conversion (VC) without any parallel or transcribed data. Our approach uses pre-trained models for automatic speech recognition (ASR…
eess.AS2020★ 12 cited
TalkNet: Fully-Convolutional Non-Autoregressive Speech Synthesis Model
Stanislav Beliaev, Yurii Rebryk, Boris Ginsburg
We propose TalkNet, a convolutional non-autoregressive neural model for speech synthesis. The model consists of two feed-forward convolutional networks. The first network predicts…
cs.LG2019
Factorized MultiClass Boosting
Igor E. Kuralenok, Yurii Rebryk, Ruslan Solovev +1
In this paper, we introduce a new approach to multiclass classification problem. We decompose the problem into a series of regression tasks, that are solved with CART trees. The pr…