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Théo Mariotte

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#machine learning Preprint Oct 2026

Predicting Audio Popularity: A Comparative Study of Metadata and Acoustic Features Across Music and Sound Effects

Results indicate that metadata consistently provide the most informative representation for predicting popularity, and acoustic features alone achieve performance significantly above chance level, demonstrating that intrinsic properties of the audio signal contribute to popularity prediction.

Ikram El Hadi, Nihad Elbari, K. Tlemçani et al. · 0 citations

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