Over a period of three years (2009 - 2011) the daily news and weather forecast airings of the German public tv-station PHOENIX featuring sign language interpretation have been recorded and the weather forecasts of a subset of 386 editions have been transcribed using gloss notation. Furthermore, we used automatic speech recognition with manual cleaning to transcribe the original German speech. As such, this corpus allows to train end-to-end sign language translation systems from sign language video input to spoken language.
50 PAPERS • 1 BENCHMARK
We manually labelled 3359 images from the RWTH-PHOENIX-Weather 2014 Development set.
3 PAPERS • 1 BENCHMARK
We provide separate training, development and test data. The training data is available right away. The development and test data will be released in several stages, starting with a release of the development sources only.
1 PAPER • 2 BENCHMARKS