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20212024
most citedCross-speaker style transfer for text-to-speech using data augmentation

2 citations · 6 across the 8 of their papers we have counts for

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eess.AS2022

Voice Filter: Few-shot text-to-speech speaker adaptation using voice conversion as a post-processing module

Adam Gabryś, Goeric Huybrechts, Manuel Sam Ribeiro +6

State-of-the-art text-to-speech (TTS) systems require several hours of recorded speech data to generate high-quality synthetic speech. When using reduced amounts of training data,…

eess.AS2022★ 2 cited

Cross-speaker style transfer for text-to-speech using data augmentation

Manuel Sam Ribeiro, Julian Roth, Giulia Comini +3

We address the problem of cross-speaker style transfer for text-to-speech (TTS) using data augmentation via voice conversion. We assume to have a corpus of neutral non-expressive d…