Automatic subtitling is the task of automatically translating the speech of audiovisual content into short pieces of timed text, i.e. subtitles and their corresponding timestamps. The generated subtitles need to conform to space and time requirements, while being synchronised with the speech and segmented in a way that facilitates comprehension. Given its considerable complexity, the task has so far been addressed through a pipeline of components that separately deal with transcribing, translating, and segmenting text into subtitles, as well as predicting timestamps. In this paper, we propose the first direct ST model for automatic subtitling that generates subtitles in the target language along with their timestamps with a single model. Our experiments on 7 language pairs show that our approach outperforms a cascade system in the same data condition, also being competitive with production tools on both in-domain and newly-released out-domain benchmarks covering new scenarios.

In the figure above, we've plotted the order that manufacturers expect to introduce the tools (x-axis) against the expected and relative importance of the tools in 2030 (y-axis). The relative value for money is represented by the size of the tool's bubble on the chart. The three groupings of tools based on their nature are also visible in this chart, showing relative differences in expected time of introduction and importance, which have been enlarged to highlight differences in this chart. Many of these production tools can play a vital role in making work life safer and reducing work related accidents to a bare minimum, as discussed earlier. For example, augmenter tools such as exoskeletons can help employees by adding motoric strength to help them to get around safely and independently, as well as assisting them to perform hazardous jobs with fewer potential injuries. Today, powered exoskeleton suits are becoming a reality and there are many commercial and experimental exosuits now operating globally.

The future of work discussion has always been an interesting one, but never so much as it is right now, because of how much has changed in the past 18 months due to the COVID-19 pandemic. Globally, the shifts businesses needed to make to adjust to the new reality were so major that there just seems to be no going back to the former pre-pandemic status quo. In speaking with experts across industries, Connected World has found that enterprise leaders in just about every vertical believe the pandemic sped up trends that were already underway, like the shift to hybrid work models and the adoption of technologies that facilitate digital transformation in the enterprise, by several years. A new report offers some insight into how the workforce sees the future of work shaping up. Global Workplace Analytics and Owl Labs recently released the State of Remote Work 2021 report, which suggests looking forward to 2022, the theme will be adapting to a hybrid workplace and working on defining what that actually means.