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 m...
Koen Tanghe, Micheline Lesaffre, Sven Degroeve, Ma...
We observed that for multimedia data – especially music - collaborative similarity measures perform much better than similarity measures derived from content-based sound feature...
This paper describes the use of the Autonomous Classification Engine (ACE) to classify beatboxing (vocal percussion) sounds. A set of unvoiced percussion sounds belonging to five ...
Detecting artists that can be considered as prototypes for particular genres or styles of music is an interesting task. In this paper, we present an approach that ranks artists ac...
The creation of huge databases coming from both restoration of existing analogue archives and new content is demanding fast and more and more reliable tools for content analysis a...
KernScores, an online library of musical data currently consisting of over 5 million notes, has been created to assist projects dealing with the computational analysis of musical ...
This paper describes a multi-pitch analysis method using specmurt analysis with iterative estimation of the quasioptimal common harmonic structure function. Specmurt analysis (Sag...
We describe a recursive algorithm to quickly compute the N nearest neighbors according to a similarity measure in a metric space. The algorithm exploits an intrinsic property of a...
Musical works in the Western art music tradition exist in a complex, inter-related web. Works that are derivative or part of another work are common; however, most music informati...
A method is presented for automatic transcription of sung melodic fragments to score-like representation, including metric values and pitch. A joint model for pitch, rhythm, segme...