Chung‐Cheng Chiu
3 papers in the PaperMetrix corpus
Papers by this author
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Monotonic Chunkwise Attention
2017 · arXiv (Cornell University)
Sequence-to-sequence models with soft attention have been successfully applied to a wide variety of problems, but their decoding process incurs a quadratic time and space cost and is inapplicable to real-time sequence transduction. To address …
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Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
2019 · arXiv (Cornell University)
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 are composed of modular building blocks that are flexible and easily extensible, …
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Leveraging Weakly Supervised Data to Improve End-to-end Speech-to-text Translation
2019
End-to-end Speech Translation (ST) models have many potential advantages when compared to the cascade of Automatic Speech Recognition (ASR) and text Machine Translation (MT) models, including lowered inference latency and the avoidance of error compounding. …