Extraction and classification of tempo stimuli from electroencephalography recordings using convolutional recurrent attention model

Extraction and classification of tempo stimuli from electroencephalography recordings using convolutional recurrent attention model

AbstractElectroencephalography (EEG) recordings taken during the perception of music tempo contain information that estimates the tempo of a music piece. If information about this tempo stimulus in EEG recordings can be extracted and classified, it can be effectively used to construct a music‐based...

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Bibliographic Details
Main Authors: Gi Yong Lee, Min‐Soo Kim, Hyoung‐Gook Kim
Format: Article
Language:English
Published: Electronics and Telecommunications Research Institute (ETRI) 2021-11-01
Series:ETRI Journal
Subjects:
attention mechanism
convolutional recurrent neural network
electroencephalography
spatiotemporal features
tempo stimuli classification
Online Access:https://doi.org/10.4218/etrij.2021-0174

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