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Natural music evokes correlated EEG responses reflecting temporal structure and beat
The brain activity of multiple subjects has been shown to synchronize during salient
moments of natural stimuli, suggesting that correlation of neural responses indexes a brain …
moments of natural stimuli, suggesting that correlation of neural responses indexes a brain …
Deep correlation analysis for audio-EEG decoding
The electroencephalography (EEG), which is one of the easiest modes of recording brain
activations in a non-invasive manner, is often distorted due to recording artifacts which …
activations in a non-invasive manner, is often distorted due to recording artifacts which …
[PDF][PDF] NMED-T: A Tempo-Focused Dataset of Cortical and Behavioral Responses to Naturalistic Music.
Understanding human perception of music is foundational to many research topics in Music
Information Retrieval (MIR). While the field of MIR has shown a rising interest in the study of …
Information Retrieval (MIR). While the field of MIR has shown a rising interest in the study of …
EEG-based decoding of auditory attention to a target instrument in polyphonic music
Auditory attention decoding aims at determining which sound source a subject is" focusing
on". In this work, we address the problem of EEG-based decoding of auditory attention to a …
on". In this work, we address the problem of EEG-based decoding of auditory attention to a …
[PDF][PDF] Correlation of EEG Responses Reflects Structural Similarity of Choruses in Popular Music.
Music structure analysis is a core topic in Music Information Retrieval and could be
advanced through the inclusion of new data modalities. In this study we consider neural …
advanced through the inclusion of new data modalities. In this study we consider neural …
A Survey on Bridging EEG Signals and Generative AI: From Image and Text to Beyond
Integration of Brain-Computer Interfaces (BCIs) and Generative Artificial Intelligence (GenAI)
has opened new frontiers in brain signal decoding, enabling assistive communication …
has opened new frontiers in brain signal decoding, enabling assistive communication …
Mind the beat: detecting audio onsets from EEG recordings of music listening
We propose a deep learning approach to predicting audio event onsets in
electroencephalogram (EEG) recorded from users as they listen to music. We use a publicly …
electroencephalogram (EEG) recorded from users as they listen to music. We use a publicly …
MAD-EEG: an EEG dataset for decoding auditory attention to a target instrument in polyphonic music
We present MAD-EEG, a new, freely available dataset for studying EEG-based auditory
attention decoding considering the challenging case of subjects attending to a target …
attention decoding considering the challenging case of subjects attending to a target …
[کتاب][B] Toward an objective neurophysiological measure of musical engagement
BB Kaneshiro - 2016 - search.proquest.com
Engaging listeners is an inherent goal of music. The concept of'musical engagement',
however, carries multiple connotations and remains difficult to quantify or even define. In …
however, carries multiple connotations and remains difficult to quantify or even define. In …
[PDF][PDF] Decoding neurally relevant musical features using canonical correlation analysis
ABSTRACT Music Information Retrieval (MIR) has been dominated by computational
approaches. The possibility of leveraging neural systems via brain-computer interfaces is an …
approaches. The possibility of leveraging neural systems via brain-computer interfaces is an …