Journal of New Music Research, 43(3), 291–302. This blog is meant to be a fun take on predicting Song and Record of the Year for the 63rd Annual GRAMMY Awards. Outline Music Information Retrieval Hit Prediction Dance Hit Prediction Dataset Models Results Conclusion Conclusion Multiple models were built that can predict if a dance song is going te be a top 10 hit and implemented in an online application. Dance hit song prediction 293 Table 2. A number of different classifiers are used to build and test dance hit prediction models. Example of hit listings before adding musical features. An-other study attempted to classify songs based on lyric con-tent [7]. chines (SVM) to predict top 10 Dance Hits [4]. Hit songs are getting so predictable. No, literally. After a postponement due to rising COVID-19 numbers in … Hit song prediction based on early adopter data and audio features. BibTeX @MISC{Herremans14dancehit, author = {Dorien Herremans and David Martens and Kenneth Sörensen}, title = {Dance Hit Song Prediction}, year = {2014}} The resulting best model has a good performance when predicting whether a song is a "top 10" dance hit versus a lower listed position. The resulting best model has a good performance when predicting whether a song is a ‘top 10’ dance hit versus a lower listed position. This translates that 98% of all the songs the model classified as non-hits are indeed non-hits; and, only 55% of the songs it predicted hits really are. Dance hit song prediction. By nar-rowing the scope of the study to only dance music, re-searchers were able to present a more focused work. Events in the entertainment industry look a little different this year, with the GRAMMYs being a prime example. The precision levels for the non-hit and hit classes are 0.98 and 0.55, respectively. In this research we tackle this question by focusing on the dance hit song classification problem. A database of dance hit songs from 1985 until 2013 is built, including basic musical features, as well as more advanced features that capture a temporal aspect. [preprint link] Herremans, D., & Bergmans, T. (2017). The recipe for what makes a pop or dance song a hit has apparently become so formulaic, a … Different classifiers are used to build and test dance hit prediction models. A number of different classifiers are used to build and test dance hit prediction models. A number of different classifiers are used to build and test dance hit prediction models. Our model reacts better when it comes to non-hits songs. A database of dance hit songs from 1985 until 2013 is built, including basic musical features, as well as more advanced features that capture a temporal aspect. While they successfully classified many hits, they also returned many false positives and concluded that ana- The 18th International Society for Music Information Retrieval Conference (ISMIR) — Late Breaking Demo.