# RWTH-Weather-Phoenix 2014

This archive contains two sets of the RWTH-Weather-Phoenix 2014 corpus

 1. the multisigner set 
 2. the signer independent set.

It is released under non-commercial cc 4.0 license with attribution (see attachment)

If you use this data in your research, please cite:

```
O. Koller, J. Forster, and H. Ney. Continuous sign language recognition: Towards large vocabulary statistical recognition systems handling multiple signers. Computer Vision and Image Understanding, volume 141, pages 108-125, December 2015.
```

and

```
Koller, Zargaran, Ney. "Re-Sign: Re-Aligned End-to-End Sequence Modeling with Deep Recurrent CNN-HMMs" in CVPR 2017, Honululu, Hawaii, USA.
```

See README files in subfolders for more information.

### CHANGELOG
 - v1 Aug 20  2016, initial version of the archive. multisigner setup
 - v2 Apr 21  2017, signer independent SI5 subset, added caffe models and automatic frame-alignment
 - v3 Nov 3  2017, added language models and complete set of hyper parameters to reproduce the published results