EEG-based auditory attention decoding using speech-level-based segmented computational models
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DOI: 10.1088/1741-2552/abfeba
Abstract: Objective. Auditory attention in complex scenarios can be decoded by electroencephalography (EEG)-based cortical speech-envelope tracking. The relative root-mean-square (RMS) intensity is a valuable cue for the decomposition of speech into distinct characteristic segments. To improve… read more here.
Keywords: rms level; speech; auditory attention; level based ... See more keywords