Collecting Ground Truth Annotations for Drum Detection in Polyphonic Music

In order to train and test algorithms that can automatically detect drum events in polyphonic music, ground truth data is needed. This paper describes a setup used for gathering manual annotations for 49 real-world music fragments containing different drum event types. Apart from the drum events, the beat was also annotated. The annotators were experienced drummers or percussionists. This paper is primarily aimed towards other drum detection researchers, but might also be of interest to others dealing with automatic music analysis, manual annotation and data gathering. Its purpose is threefold: providing annotation data for algorithm training and evaluation, describing a practical way of setting up a drum annotation task, and reporting issues that came up during the annotation sessions while at the same time providing some thoughts on important points that could be taken into account when setting up similar tasks in the future.

• Type: Conference
• Year: 2005
• Where: ISMIR
• Authors: Koen Tanghe, Micheline Lesaffre, Sven Degroeve, Marc Leman, Bernard De Baets, Jean-Pierre Martens
• Keywords: Annotation, Drum Events, Information Retrieval, ISMIR 2005, Manual Annotation