Mel Frequency Cepstral Coefficients Enhance Imagined Speech Decoding Accuracy from EEG

Abstract

Imagined speech has recently become an important neuro-paradigm in the field of brain-computer interface (BCI) research. Electroencephalogram (EEG) recordings during imagined speech production are difficult to decode... [ view full abstract ]

Authors

  1. Ciaran Cooney (Ulster University)
  2. Rafaella Folli (Ulster University)
  3. Damien Coyle (Ulster University)

Topic Areas

Digital Signal Processing , AI and Machine Learning , Data analytics

Session

Th1a » Machine Learning (10:30 - Thursday, 21st June, 02.014 (Ashby))

Presentation Files

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