@article{schultz2017biosignal,
  title        = {Biosignal-based Spoken Communication: A Survey},
  author       = {Schultz, Tanja and Wand, Michael and Hueber, Thomas and Krusienski, Dean J and
    Herff, Christian and Brumberg, Jonathan S},
  year         = 2017,
  note         = {Lorenz Diener credited in Acknowledgements as additional author},
  month        = nov,
  day          = 23,
  journal      = {{TASLP} -- {IEEE/ACM} Transactions on Audio, Speech and Language Processing},
  volume       = 25,
  number       = 12,
  pages        = {2257--2271},
  doi          = {10.1109/TASLP.2017.2752365},
  abstract     = {Speech is a complex process involving a wide range of biosignals, including but
    not limited to acoustics. These biosignals-stemming from the articulators, the articulator
    muscle activities, the neural pathways, and the brain itself-can be used to circumvent
    limitations of conventional speech processing in particular, and to gain insights into the
    process of speech production in general. Research on biosignal-based speech processing is a wide
    and very active field at the intersection of various disciplines, ranging from engineering,
    computer science, electronics and machine learning to medicine, neuroscience, physiology, and
    psychology. Consequently, a variety of methods and approaches have been used to investigate the
    common goal of creating biosignal-based speech processing devices for communication applications
    in everyday situations and for speech rehabilitation, as well as gaining a deeper understanding
    of spoken communication. This paper gives an overview of the various modalities, research
    approaches, and objectives for biosignal-based spoken communication.},
  url          = {https://halcy.de/cites/pdf/schultz2017biosignal.pdf},
}