Published September 27, 2019 | Version v2
Dataset Open

British English Cued Speech--interspeech 2019

Creators

  • 1. Ryerson University

Contributors

Contact person:

  • 1. Ryerson University

Description

The first British English Cued Speech (CS) dataset is recorded for this work in Cued Speech UK association without using any artificial mark, and it is also the first one especially for the continuous recognition in British English CS. A professional CS interpreter (with no hearing impairment) is asked to simultaneously utter and encode a set of 97 British English sentences (e.g., I feel it is a time to move to a new chapter in my career). 97 sentences are chosen from the uploaded text file. There are totally 907 monophthongs and 138 diphthongs in the dataset. Color video images of the interpreter’s upper body are recorded at 25 fps, with a spatial resolution of 720x1280. 

If you use this dataset, please cite the following:

@inproceedings{Liu2019,
  author={Li Liu and Jianze Li and Gang Feng and Xiao-Ping Zhang},
  title={{Automatic Detection of the Temporal Segmentation of Hand Movements in British English Cued Speech}},
  year=2019,
  booktitle={Proc. Interspeech 2019},
  pages={2285--2289},
  doi={10.21437/Interspeech.2019-2353},
  url={http://dx.doi.org/10.21437/Interspeech.2019-2353}
}

Notes

The authors would like to thank the professional CS teacher Cate Calder from Cued Speech UK association for her time spent on the British English CS dataset recording.

Files

100 English sentences_short.txt

Files (367.3 MB)

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md5:11b5d7a24287a8f05840a09ab6dc87ef
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Additional details

Related works

Is cited by
Conference paper: 10.21437/Interspeech.2019-2353 (DOI)

References

  • interspeech 2019