@inproceedings{herff2016towards,
  title        = {Towards direct speech synthesis from ECoG: A pilot study},
  author       = {Herff, C. and Johnson, G. and Diener, L. and Shih, J. and Krusienski, D. and
    Schultz, T.},
  year         = 2016,
  month        = aug,
  booktitle    = {{EMBC} 2016 - 38th Annual International Conference of the IEEE Engineering in
    Medicine and Biology Society},
  doi          = {0.1109/EMBC.2016.7591004},
  abstract     = {Most current Brain-Computer Interfaces (BCIs) achieve high information transfer
    rates using spelling paradigms based on stimulus-evoked potentials. Despite the success of this
    interfaces, this mode of communication can be cumbersome and unnatural. Direct synthesis of
    speech from neural activity represents a more natural mode of communi- cation that would enable
    users to convey verbal messages in real-time. In this pilot study with one participant, we
    demonstrate that electrocoticography (ECoG) intracranial activity from temporal areas can be
    used to resynthesize speech in real-time. This is accomplished by reconstructing the audio
    magnitude spectrogram from neural activity and subsequently creating the audio waveform from
    these reconstructed spectrograms. We show that significant correlations between the original and
    reconstructed spectrograms and temporal waveforms can be achieved. While this pilot study uses
    audibly spoken speech for the models, it represents a first step towards speech synthesis from
    speech imagery.},
  url          = {https://halcy.de/cites/pdf/herff2016towards.pdf},
  poster       = {https://halcy.de/cites/pdf/herff2016towards_poster.pdf},
}