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Silent Speech Recognition for BCI - A Review

Author

Listed:
  • You Wang
  • Ming Zhang
  • Ruifen Hu
  • Guang Li

    (State Key Laboratory of Industrial Control Technology, Institute of Cyber Systems and Control, Zhejiang University, China)

  • Nan Li

    (Department of Engineering, University of Cambridge, UK)

Abstract

Silent Speech Interface (SSI) is just a novel member in Brain-Computer Interface (BCI) family, which relies on decoding ...

Suggested Citation

  • You Wang & Ming Zhang & Ruifen Hu & Guang Li & Nan Li, 2020. "Silent Speech Recognition for BCI - A Review," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 27(2), pages 20625-20627, April.
  • Handle: RePEc:abf:journl:v:27:y:2020:i:2:p:20625-20627
    DOI: 10.26717/BJSTR.2020.27.004478
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    References listed on IDEAS

    as
    1. Gopala K. Anumanchipalli & Josh Chartier & Edward F. Chang, 2019. "Speech synthesis from neural decoding of spoken sentences," Nature, Nature, vol. 568(7753), pages 493-498, April.
    2. Siyoung Lee & Junsoo Kim & Inyeol Yun & Geun Yeol Bae & Daegun Kim & Sangsik Park & Il-Min Yi & Wonkyu Moon & Yoonyoung Chung & Kilwon Cho, 2019. "An ultrathin conformable vibration-responsive electronic skin for quantitative vocal recognition," Nature Communications, Nature, vol. 10(1), pages 1-11, December.
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