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4. Towards Decoding Selective Attention From Single-Trial Eeg Data In Cochlear Implant Users Based On Deep Neural Networks

Towards Decoding Selective Attention From Single-Trial Eeg Data In Cochlear Implant Users Based On Deep Neural Networks

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IEEE ICASSP 2020 Virtual Conference May 2020

Electroencephalography (EEG) data can be used to decode an attended speech source in normal-hearing (NH) listeners. One application of this technology consists of identifying the target speaker in a cocktail party\text{-}like scenario and activate speech

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Towards Decoding Selective Attention From Single-Trial Eeg Data In Cochlear Implant Users Based On Deep Neural Networks

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Electroencephalography (EEG) data can be used to decode an attended speech source in normal-hearing (NH) listeners. One application of this technology consists of identifying the target speaker in a cocktail party ext{-}like scenario and activate speech