Robust EEG-Based Decoding of Auditory Attention With High-RMS-Level Speech Segments in Noisy Conditions

Robust EEG-Based Decoding of Auditory Attention With High-RMS-Level Speech Segments in Noisy Conditions

The attended speech stream can be detected robustly, even in adverse auditory scenarios with auditory attentional modulation, and can be decoded using electroencephalographic (EEG) data. Speech segmentation based on the relative root-mean-square (RMS) intensity can be used to estimate segmental cont...

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Bibliografiska uppgifter
Huvudupphovsmän: Lei Wang, Ed X. Wu, Fei Chen
Materialtyp: Artikel
Språk:English
Publicerad: Frontiers Media S.A. 2020-10-01
Serie:Frontiers in Human Neuroscience
Ämnen:
EEG
temporal response function (TRF)
auditory attention decoding
speech RMS-level segments
signal-to-noise ratio
Länkar:https://www.frontiersin.org/article/10.3389/fnhum.2020.557534/full

Internet

https://www.frontiersin.org/article/10.3389/fnhum.2020.557534/full

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