AcousticBrainz Genre Task: Content-based music genre recognition from multiple sources


Over the past months, we’ve been preparing a genre recognition task based on the vast amounts of music data we gathered in AcousticBrainz database. It is now a part of MediaEval 2017, a benchmarking initiative that organizes an annual cycle of scientific evaluation tasks in the area of multimedia access and retrieval.

The task is about music genre recognition: we want to build systems that are able to predict genre and subgenre of unknown music recordings (songs) given automatically computed music audio features of those recordings.

It is a popular problem in Music Information Retrieval, however the task that we propose is somewhat different, more detailed and more challenging:

See the full description of the task here.

rss facebook twitter github youtube mail spotify instagram linkedin google google-plus pinterest medium vimeo stackoverflow reddit quora