1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.SD2021★ 1 cited
Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech
Marek Strong, Jonas Rohnke, Antonio Bonafonte +2
We present a Split Vector Quantized Variational Autoencoder (SVQ-VAE) architecture using a split vector quantizer for NTTS, as an enhancement to the well-known Variational Autoenco…
cs.CL2019★ 1 cited
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data
Nishant Prateek, Mateusz Łajszczak, Roberto Barra-Chicote +5
Neural text-to-speech synthesis (NTTS) models have shown significant progress in generating high-quality speech, however they require a large quantity of training data. This makes…