EEG-based auditory attention decoding using speech-level-based segmented computational models.

Wang, Lei; Wu, Ed X; Chen, Fei

Wang, Lei; Wu, Ed X; Chen, Fei.

Affiliation

Wang L; Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, People's Republic of China.
Wu EX; Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, People's Republic of China.
Chen F; Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, People's Republic of China.

J Neural Eng ; 18(4)2021 05 25.

Article in En | MEDLINE | ID: mdl-33957606

Subject(s)

Speech Perception; Speech; Acoustic Stimulation; Attention; Computer Simulation; Electroencephalography; Humans

Key words

EEG; RMS-level-based speech segments; auditory attention decoding (AAD); machine learning; signal-to-mask ratio (SMR); support vector machine (SVM); temporal response function (TRF)

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Full text: 1 Database: MEDLINE Main subject: Speech / Speech Perception Type of study: Prognostic_studies Language: En Journal: J Neural Eng Year: 2021 Type: Article

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Full text: 1 Database: MEDLINE Main subject: Speech / Speech Perception Type of study: Prognostic_studies Language: En Journal: J Neural Eng Year: 2021 Type: Article