Hitness of Original Pilipino Music can be predicted up to 92%

Authors

Jeric Tugaff ⋅ PH National Institute of Physics, University of the Philippines Diliman
Lorcel Venturina ⋅ PH National Institute of Physics, University of the Philippines Diliman
Christopher P. Monterola ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

In this work, musical features (e.g. pitch, tempo, and dynamic range) are extracted from Original Pilipino Music (OPM) released from 2004 to 2006 and are used to forecast hit songs. We show that a trained feed-forward NN can predict which songs would hit up to 92.3% regardless of musical genre. The accuracy is remarkable given that linear classifers are just within the proportion chance criterion.

Issue

2008: Proceedings of the 26th Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP-2008-PB-19

Section

Poster Session B (Instrumentation, Environmental, and Theoretical Physics)

Published

2008-10-22

How to Cite

[1]

J Tugaff, L Venturina, and CP Monterola, Hitness of Original Pilipino Music can be predicted up to 92%, Proceedings of the Samahang Pisika ng Pilipinas 26, SPP-2008-PB-19 (2008). URL: https://proceedings.spp-online.org/article/view/SPP-2008-PB-19.