@inproceedings{diener2020csl,
  title        = {{CSL-EMG\_Array}: An Open Access Corpus for EMG-to-Speech Conversion},
  author       = {Diener, Lorenz and Roustay Vishkasougheh, Mehrdad and Schultz, Tanja},
  year         = 2020,
  month        = sep,
  booktitle    = {{INTERSPEECH} 2020 - 21st Annual Conference of the International Speech
    Communication Association},
  video        = {https://www.youtube.com/watch?v=houE7c2zEko},
  doi          = {10.21437/Interspeech.2020-2859},
  abstract     = {We present a new open access corpus for the training and evaluation of
    EMG-to-Speech conversion systems based on array electromyographic recordings. The corpus is
    recorded with a recording paradigm closely mirroring realistic EMG-to-Speech usage scenarios,
    and includes evaluation data recorded from both audible as well as silent speech. The corpus
    consists of 9.5 hours of data, split into 12 sessions recorded from 8 speakers. Based on this
    corpus, we present initial benchmark results with a realistic online EMG-to-Speech conversion
    use case, both for the audible and silent speech subsets. We also present a method for
    drastically improving EMG-to-Speech system stability and performance in the presence of
    time-related artifacts.},
  code         = {https://www.uni-bremen.de/csl/forschung/lautlose-sprachkommunikation/csl-emg-array-corpus},
  url          = {https://halcy.de/cites/pdf/diener2020csl.pdf},
}