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Predicting Audio Popularity: A Comparative Study of Metadata and Acoustic Features Across Music and Sound Effects
This study addresses the prediction of audio popularity on an online sharing platform by leveraging both metadata and acoustic feature representations. Two distinct categories of audio content are considered: music and sound effects. Popularity is formulated as a supervised classification task based
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