@phdthesis{diener2021impact,
  title        = {The Impact of Audible Feedback on EMG-to-Speech Conversion},
  author       = {Diener, Lorenz},
  year         = 2021,
  month        = may,
  doi          = {10.26092/elib/556},
  school       = {University of Bremen},
  supervisor   = {Schultz, Tanja and Hueber, Thomas},
  abstract     = {Research interest in speech interfaces that can function even when an audible
    acoustic signal is not present -- so-called {Silent Speech Interfaces} -- has grown dramatically
    in recent years, as the field presents many barely exploded avenues for research and huge
    potential for applications in user interfaces and prosthetics. EMG-to-Speech conversion is a
    type of silent speech interface, based on electromyography: It is the direct conversion of a
    facial electrical speech muscle activity signal to audible speech without an intermediate
    textual representation. Such a direct conversion approach is well suited to speech prosthesis
    and silent telephony applications and could be used as a pre-processing step to enable a user to
    use a regular acoustic speech interface silently. To enable these applications in practice, one
    requirement is that EMG-to-Speech conversion systems must be capable of producing output in real
    time and with low latency, and work on EMG signals recorded during silently produced speech. The
    overall objective of this dissertation is to move EMG-to-Speech conversion further towards
    practical usability by building a real-time low-latency capable EMG-to-Speech conversion system
    and then use it to evaluate the effect of audible feedback, provided in real-time, on silent
    speech production.},
  code         = {https://github.com/cognitive-systems-lab/EMG-GUI},
  url          = {https://halcy.de/cites/pdf/diener2021impact.pdf},
}