Last week we announced the publication of OpenBMAT, an open dataset for the tasks of music detection and relative music loudness estimation. The dataset contains 27.4 hours of audio from 8 different TV program types at 4 different countries, cross-annotated by 3 people using 6 different classes. It has been published as a dataset paper at Transaction of the International Society for Music Information Retrieval, the open journal of ISMIR. This research has been carried out as a collaboration between the MTG and BMAT in the context of the industrial Doctorates program of the Catalan Government.
For more information you can read the related news at MTG web site: https://www.upf.edu/web/mtg/home/-/asset_publisher/sWCQhjdDLWwE/content/id/227864284/maximized#.XXZ_IZMzab8