Papers by Shigeki Karita
ESPnet-ST: All-in-One Speech Translation Toolkit (2020.acl-demos)
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Hirofumi Inaguma, Shun Kiyono, Kevin Duh, Shigeki Karita, Nelson Yalta, Tomoki Hayashi, Shinji Watanabe
| Challenge: | ESPnet-ST is a new project for the quick development of speech-to-speech translation systems. |
| Approach: | They propose a framework for rapid development of speech-to-speech translation systems . they provide all-in-one recipes including data pre-processing, feature extraction, training, and decoding pipelines . |
| Outcome: | The proposed model outperforms the current state-of-the-art models on a wide range of benchmark datasets. |