Energy-based features and bi-LSTM neural network for EEG-based music and voice classification

The human brain receives stimuli in multiple ways; among them, audio constitutes an important source of relevant stimuli for the brain regarding communication, amusement, warning, etc. In this context, the aim of this manuscript is to advance in the classification of brain responses to music of dive...

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Veröffentlicht in:Neural computing & applications 2024, Vol.36 (2), p.791-802
Hauptverfasser: Ariza, Isaac, Barbancho, Ana M., Tardón, Lorenzo J., Barbancho, Isabel
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Sprache:eng
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