Analysis of Auditory Attention Based EEG Signals across Time, Frequency and Time-Frequency Domains

Vanisha R., Sushma S. Jagtap

2025

Abstract

In this digital age auditory attention plays an important role in everything from flying an airplane to learning in a classroom environment. It is essential to focus on the user's or individual's auditory attention analysis because attention may differ while communicating with a non-native speaker and, in some cases, native speakers. Although there are many different types of physiological signals to analyze attention, EEG is the most widely used because this EEG signal is relatively simple and non-invasive. Among the numerous types of physiological datasets, the lack of study fails to auditory Attention to natural speech. This was complemented by the Physiology of Auditory attention to Speech Dataset, it was obtained from 25 healthy subjects by performing three separate tasks (resting, writing, and listening) at varied noise levels with native and non-native speakers. This study examines auditory attention in the time, frequency, and time-frequency domains while considering the all-noise level EEG data from three separate activities while interacting with native and non-native speakers. For this purpose, we employ a unique data segmentation preprocessing method that combines all EEG signals with specific window size and machine learning algorithms for task classification. The results show that the time-frequency domain surpasses the other domains.

Paper Citation

in Harvard Style

R. V. and Jagtap S. (2025). Analysis of Auditory Attention Based EEG Signals across Time, Frequency and Time-Frequency Domains. In Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25; ISBN 978-989-758-777-1, SciTePress, pages 606-616. DOI: 10.5220/0013938700004919

in Bibtex Style

@conference{icrdicct`2525,
author={Vanisha R. and Sushma Jagtap},
title={Analysis of Auditory Attention Based EEG Signals across Time, Frequency and Time-Frequency Domains},
booktitle={Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25},
year={2025},
pages={606-616},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013938700004919},
isbn={978-989-758-777-1},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Research and Development in Information, Communication, and Computing Technologies - ICRDICCT`25
TI - Analysis of Auditory Attention Based EEG Signals across Time, Frequency and Time-Frequency Domains
SN - 978-989-758-777-1
AU - R. V.
AU - Jagtap S.
PY - 2025
SP - 606
EP - 616
DO - 10.5220/0013938700004919
PB - SciTePress