Extracting the Auditory Attention in a Dual-Speaker Scenario from EEG using a Joint CNN-LSTM Model

Autor: Kuruvila, Ivine, Muncke, Jan, Fischer, Eghart, Hoppe, Ulrich

Human brain performs remarkably well in segregating a particular speaker from interfering ones in a multi-speaker scenario. It has been recently shown that we can quantitatively evaluate the segregation capability by modelling the relationship betwee

Externí odkaz: http://arxiv.org/abs/2102.03957

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Extracting the Auditory Attention in a Dual-Speaker Scenario From EEG Using a Joint CNN-LSTM Model.

Autor: Kuruvila I; Department of Audiology, ENT-Clinic, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany., Muncke J; Department of Audiology, ENT-Clinic, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany., Fischer E; WS Audiology, Erlangen, Germany., Hoppe U; Department of Audiology, ENT-Clinic, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany.

Publikováno v: Frontiers in physiology [Front Physiol] 2021 Aug 02; Vol. 12, pp. 700655. Date of Electronic Publication: 2021 Aug 02 (Print Publication: 2021).