1 code implementation • ICML Workshop INNF 2021 • Kevin J. Shih, Rafael Valle, Rohan Badlani, Adrian Lancucki, Wei Ping, Bryan Catanzaro
This work introduces a predominantly parallel, end-to-end TTS model based on normalizing flows.
1 code implementation • 3 Aug 2018 • Szymon Malik, Adrian Lancucki, Jan Chorowski
In this work, we focus on a lightweight convolutional architecture that creates fixed-size vector embeddings of sentences.
no code implementations • 14 Jan 2019 • Jan Chorowski, Adrian Lancucki, Bartosz Kostka, Michal Zapotoczny
The embedding network is trained together with the rest of the acoustic model and removes one of the last cases in which neural systems have to be bootstrapped from GMM-HMM ones.
no code implementations • 3 Jun 2020 • Sameer Khurana, Antoine Laurent, Wei-Ning Hsu, Jan Chorowski, Adrian Lancucki, Ricard Marxer, James Glass
Probabilistic Latent Variable Models (LVMs) provide an alternative to self-supervised learning approaches for linguistic representation learning from speech.