An Empirical Study Using Machine Learning to Analyze the Relationship Between Musical Audio Features and Psychological Stress

Harini Anand, Shalini Kammalam Srinivasan, Hasika Venkata Boggarapu, Arti Arya, Richa Sharma

2025

Abstract

Music plays a vital role in regulating emotions and mental well-being, influencing brain function and stress levels. This study leverages Explainable AI (XAI) techniques, specifically SHapley Additive exPlanations (SHAP) and Integrated Gradients, to analyze the impact of scientifically backed audio features—such as Danceability, Energy, Acousticness, etc on stress classification. Using a Feedforward Neural Network, we achieved a 0.96 accuracy in categorizing music preferences into ”Stressed,” ”Not-stressed,” and ”Borderline” states. The classifier operates effectively across languages and genres, enhancing its versatility for detecting Psychological Stress by providing interpretable insights.

Paper Citation

in Harvard Style

Anand H., Srinivasan S., Boggarapu H., Arya A. and Sharma R. (2025). An Empirical Study Using Machine Learning to Analyze the Relationship Between Musical Audio Features and Psychological Stress. In Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART; ISBN 978-989-758-737-5, SciTePress, pages 1031-1039. DOI: 10.5220/0013249900003890

in Bibtex Style

@conference{icaart25,
author={Harini Anand and Shalini Srinivasan and Hasika Boggarapu and Arti Arya and Richa Sharma},
title={An Empirical Study Using Machine Learning to Analyze the Relationship Between Musical Audio Features and Psychological Stress},
booktitle={Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART},
year={2025},
pages={1031-1039},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013249900003890},
isbn={978-989-758-737-5},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 17th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART
TI - An Empirical Study Using Machine Learning to Analyze the Relationship Between Musical Audio Features and Psychological Stress
SN - 978-989-758-737-5
AU - Anand H.
AU - Srinivasan S.
AU - Boggarapu H.
AU - Arya A.
AU - Sharma R.
PY - 2025
SP - 1031
EP - 1039
DO - 10.5220/0013249900003890
PB - SciTePress