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Arent van Korlaar on Muck Rack

Arent van Korlaar

As seen in: Amazon Science
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Articles

BASE TTS: Lessons from building a billion-parameter text-to-speech model on 100K hours of data

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By Mateusz Lajszczak, Guillermo Ruiz, Arent van Korlaar, Fatih Beyhan
| Amazon Science
We introduce a text-to-speech (TTS) model called BASE TTS, which stands for Big Adaptive Streamable TTS with Emergent abilities. BASE TTS is the largest TTS model to-date, trained on 100K hours of public domain speech data, achieving a new state-of-the-art in speech naturalness.
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Distribution augmentation for low-resource expressive text-to-speech

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By Mateusz Lajszczak, Arent van Korlaar, Bajibabu Bollepalli, Antonio Bonafonte
| Amazon Science
This paper presents a novel data augmentation technique for text-to-speech (TTS), that allows to generate new (text, audio) training examples without requiring any additional data. Our goal is to increase diversity of text conditionings available during training. This helps to reduce overfitting, especially in low-resource settings. Our method relies on substituting text and audio fragments in a way that preserves syntactical correctness.
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