Analyzing Musical Characteristics of National Anthems in Relation to Global Indices
S M Rakib Hasan, Aakar Dhakal, Ms. Ayesha Siddiqua, Mohammad Mominur, Rahman, Md Maidul Islam, Mohammed Arfat Raihan Chowdhury, S M Masfequier, Rahman Swapno, SM Nuruzzaman Nobel

TL;DR
This study explores the relationship between national anthem musical features and various global social indices using computational analysis, revealing potential correlations that could inform social policies and music psychology.
Contribution
It introduces a novel approach combining music analysis and statistical correlation to link national anthem characteristics with social indices across 169 countries.
Findings
Potential correlations between anthem features and social indices
Open-access dataset and code for reproducibility
Implications for social policy and music psychology
Abstract
Music plays a huge part in shaping peoples' psychology and behavioral patterns. This paper investigates the connection between national anthems and different global indices with computational music analysis and statistical correlation analysis. We analyze national anthem musical data to determine whether certain musical characteristics are associated with peace, happiness, suicide rate, crime rate, etc. To achieve this, we collect national anthems from 169 countries and use computational music analysis techniques to extract pitch, tempo, beat, and other pertinent audio features. We then compare these musical characteristics with data on different global indices to ascertain whether a significant correlation exists. Our findings indicate that there may be a correlation between the musical characteristics of national anthems and the indices we investigated. The implications of our…
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Taxonomy
TopicsDiverse Musicological Studies
