The Wiki Music dataset: A tool for computational analysis of popular music

Is it possible use algorithms to find trends in the history of popular music? And is it possible to predict the characteristics of future music genres? In order to answer these questions, we produced a hand-crafted dataset with the intent to put together features about style, psychology, sociology and typology, annotated by music genre and indexed by time and decade. We collected a list of popular genres by decade from Wikipedia and scored music genres based on Wikipedia descriptions. Using statistical and machine learning techniques, we find trends in the musical preferences and use time series forecasting to evaluate the prediction of future music genres.

[1]  Roy Shuker.  Popular Music: The Key Concepts , 2002 .

[2]  Oriol Nieto,et al.  Systematic Exploration of Computational Music Structure Research , 2016, ISMIR.

[3]  David W. Aha,et al.  Instance-Based Learning Algorithms , 1991, Machine Learning.

[4]  Bruce Boyd Raeburn.  New Orleans Style and the Writing of American Jazz History , 2009 .

[5]  Sebastian Chan.  MUSIC(OLOGY) NEEDS A CONTEXT - Re-interpreting Goa Trance , 2015 .

[6]  T. Taylor.  Strange Sounds: Music, Technology and Culture , 2001 .

[7]  Robert F. Darden.  People Get Ready! A New History of Black Gospel Music , 2004 .

[8]  Michal Kosinski,et al.  The Song Remains the Same: A Replication and Extension of the MUSIC Model. , 2012, Music perception.

[9]  Gaëtan Hadjeres,et al.  Deep Learning Techniques for Music Generation - A Survey , 2017, ArXiv.

[10]  John Rudolph Covach,et al.  What's That Sound?: An Introduction to Rock and Its History , 2006 .

[11]  Vittorio Loreto,et al.  Significance and popularity in music production , 2017, Royal Society Open Science.

[12]  Noah Askin,et al.  What Makes Popular Culture Popular? Product Features and Optimal Differentiation in Music , 2017 .

[13]  J. Stephen Downie,et al.  K-Pop Genres: A Cross-Cultural Exploration , 2013, ISMIR.

[14]  E. Quintane,et al.  Embeddedness and the Production of Novelty in Music: A Multi-Dimensional Perspective , 2017, Academy of Management Proceedings.

[15]  Jennifer C. Lena,et al.  Classification as Culture: Types and Trajectories of Music Genres , 2008 .

[16]  Matthias Mauch,et al.  The Minor fall, the Major lift: inferring emotional valence of musical chords through lyrics , 2015, Royal Society Open Science.

[17]  Michael Fell,et al.  Lyrics-based Analysis and Classification of Music , 2014, COLING.

[18]  Michal Kosinski,et al.  The Song Is You , 2016 .

[19]  Keith Negus,et al.  Music Genres and Corporate Cultures , 1999 .