Frans Wiering

Learn More
For the RISM A/II collection of musical incipits (short extracts of scores, taken from the beginning), we have established a ground truth based on the opinions of human experts. It contains correctly ranked matches for a set of given queries. These ranked lists contain groups of documents whose ranks were not significantly different. In other words, they(More)
Most of the existing methods for measuring melodic similarity use one-dimensional textual representations of music notation, so that melodic similarity can be measured by calculating editing distances. We view notes as weighted points in a two-dimensional space, with the coordinates of the points reflecting the pitch and onset time of notes and the weights(More)
Musical incipits are short extracts of scores, taken from the beginning. The RISM A/II collection [6] contains about half a million of them. This large collection size makes a ground truth very interesting for the development of music retrieval methods, but at the same time makes it very difficult to establish one. Human experts cannot be expected to sift(More)
XML retrieval, also referred to as Structured Document Retrieval is a discipline of information retrieval that focusses on the retrieval of relevant document fragments for a given information need that contains both structural and textual components. In this article we will focus on the theory behind Bricks, a visual query formulation technique for XML(More)
Structured document retrieval focusses on the retrieval of relevant document fragments for a given information need that contains both structural and textual aspects. We focus here on the theory behind Bricks, a visual query formulation technique for structured document retrieval that aims at reducing the complexity of the query formulation process and(More)
The computational analysis of musical harmony has received a lot of attention the last decades. Although it is widely recognized that extracting symbolic chord labels from music yields useful abstractions, and the number of chord labeling algorithms for symbolic and audio data is steadily growing, surprisingly little effort has been put into comparing(More)
We present a method for searching databases of symbolically represented polyphonic music that exploits advantages of transportation distances such as continuity and partial matching in the pitch dimension. By segmenting queries and database documents, we also gain partial matching in the time dimension. Thus, we can find short queries in long database(More)
In the area of Music Information Retrieval (MIR), great technical progress has been made since this discipline started to mature in the late 1990s. Yet, despite the almost universal interest in music, technology that helps people find the song they have in their head is not that widely used. There seems to be a mismatch between the assumptions researchers(More)
In this paper we investigate a new approach to the similarity of tonal harmony. We create a fully functional remodeling of an earlier version of Rohrmeier’s grammar of harmony. With this grammar an automatic harmonic analysis of a sequence of symbolic chord labels is obtained in the form of a parse tree. The harmonic similarity is determined by finding and(More)