Name
Abstract | ||
|---|---|---|
In this paper, we describe our submission to the Simultaneous Speech Translation at IWSLT 2022. We explore strategies to utilize an offline model in a simultaneous setting without the need to modify the original model. In our experiments, we show that our onlinization algorithm is almost on par with the offline setting while being 3x faster than offline in terms of latency on the test set. We make our system publicly available. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.18653/v1/2022.iwslt-1.24 | International Conference on Spoken Language Translation (IWSLT) |
DocType | Volume | Citations |
Conference | Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022) | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Peter Polák | 1 | 0 | 0.34 |
| Ngoc-Quan Ngoc | 2 | 0 | 0.34 |
| Tuan-Nam Nguyen | 3 | 0 | 1.69 |
| Danni Liu | 4 | 1 | 2.38 |
| Carlos Mullov | 5 | 0 | 0.68 |
| Jan Niehues | 6 | 259 | 39.48 |
| Ondřej Bojar | 7 | 1701 | 122.71 |
| Alex Waibel | 8 | 6343 | 1980.68 |