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Non-Attentive Tacotron

Non-Attentive Tacotron is a neural text-to-speech model that combines a robust duration predictor with an autoregressive decoder.

Data and Resources

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Cite this as

Jonathan Shen, Ye Jia, Mike Chrzanowski, Yu Zhang, Isaac Elias, Heiga Zen, Yonghui Wu (2024). Dataset: Non-Attentive Tacotron. https://doi.org/10.57702/zqlar2lx

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Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Jonathan Shen
More Authors
Ye Jia
Mike Chrzanowski
Yu Zhang
Isaac Elias
Heiga Zen
Yonghui Wu
Homepage https://google.github.io/tacotron/publications/nat/