2 citations · 6 across the 8 of their papers we have counts for
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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.CL2021
Proteno: Text Normalization with Limited Data for Fast Deployment in Text to Speech Systems
Shubhi Tyagi, Antonio Bonafonte, Jaime Lorenzo-Trueba +1
Developing Text Normalization (TN) systems for Text-to-Speech (TTS) on new languages is hard. We propose a novel architecture to facilitate it for multiple languages while using da…