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20192024
most citedBASE TTS: Lessons from building a billion-parameter Text-to-Speech model on 100K hours of data

23 citations · 26 across the 9 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…