184 citations · 267 across the 13 of their papers we have counts for
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cs.LG2022★ 8 cited
Transformer-based Models of Text Normalization for Speech Applications
Jae Hun Ro, Felix Stahlberg, Ke Wu +1
Text normalization, or the process of transforming text into a consistent, canonical form, is crucial for speech applications such as text-to-speech synthesis (TTS). In TTS, the sy…
cs.LG2019★ 184 cited
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
Jonathan Shen, Patrick Nguyen, Yonghui Wu +88
Lingvo is a Tensorflow framework offering a complete solution for collaborative deep learning research, with a particular focus towards sequence-to-sequence models. Lingvo models a…