Voice Restoration with Silent Speech Interfaces (ReSSInt)
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Voice Restoration with Silent Speech Interfaces (ReSSInt) (Inma Hernaez, Jose Andrés González-López, Eva Navas, Jose Luis Pérez Córdoba, Ibon Saratxaga, Gonzalo Olivares, Jon Sánchez de la Fuente, Alberto Galdón, Víctor García Romillo, Míriam González-Atienza, Tanja Schultz, Phil Green, Michael Wand, Ricard Marxer, Lorenz Diener), at Proc. IberSPEECH 2021, March 2021
Bibtex Entry:
  title        = {Voice Restoration with Silent Speech Interfaces ({ReSSInt})},
  author       = {Hernaez, Inma and González-López, Jose Andrés and Navas, Eva and {Pérez Córdoba},
    Jose Luis and Saratxaga, Ibon and Olivares, Gonzalo and {Sánchez de la Fuente}, Jon and Galdón,
    Alberto and {García Romillo}, Víctor and González-Atienza, Míriam and Schultz, Tanja and Green,
    Phil and Wand, Michael and Marxer, Ricard and Diener, Lorenz},
  year         = 2021,
  month        = mar,
  booktitle    = {Proc. IberSPEECH 2021},
  pages        = {130--134},
  doi          = {10.21437/IberSPEECH.2021-28},
  abstract     = {ReSSInt aims at investigating the use of silent speech interfaces (SSIs) for
    restoring communication to individuals who have been deprived of the ability to speak. SSIs are
    devices which capture non-acoustic biosignals generated during the speech production process and
    use them to predict the intended message. Two are the biosignals that will be investigated in
    this project: electromyography (EMG) signals representing electrical activity driving the facial
    muscles and invasive electroencephalography (iEEG) neural signals captured by means of invasive
    electrodes implanted on the brain. From the whole spectrum of speech disorders which may affect
    a person’s voice, ReSSInt will address two particular conditions: (i) voice loss after total
    laryngectomy and (ii) neurodegenerative diseases and other traumatic injuries which may leave an
    individual paralyzed and, eventually, unable to speak. To make this technology truly beneficial
    for these persons, this project aims at generating intelligible speech of reasonable quality.
    This will be tackled by recording large databases and the use of state-of-the-art generative
    deep learning techniques. Finally, different voice rehabilitation scenarios are foreseen within
    the project, which will lead to innovative research solutions for SSIs and a real impact on
    society by improving the life of people with speech impediments.},
  url          = {https://halcy.de/cites/pdf/hernaez2021voice.pdf},