Decoding speech using the timing of neural signal modulation
Published: Aug 1, 2016
Abstract
Brain-machine interfaces (BMIs) have great potential for applications that restore and assist communication for paralyzed individuals. Recently, BMIs decoding speech have gained considerable attention due to their potential for high information transfer rates. In this study, we propose a novel decoding approach based on hidden Markov models (HMMs) that uses the timing of neural signal changes to decode speech. We tested the decoder's performance...
Paper Details
Title
Decoding speech using the timing of neural signal modulation
Published Date
Aug 1, 2016
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