As methods in artist similarity identification using Web Music Information Retrieval perform well on known evaluation sets, we investigate the application of such a method to a more realistic data set. We notice that ambiguous artist names lead to unsatisfying results. We present a simple, efficient and unsupervised method to deal with ambiguous artist names.

Community detection methods from complex network theory are applied to a subset of the Myspace artist network to identify groups of similar artists. Methods based on the greedy optimization of modularity and random walks are used. In a second iteration, inter-artist audio-based similarity scores are used as input to enhance these community detection methods. The resulting community structures a...

In this paper we present RAMA (Relational Artist MAps), a simple yet efficient interface to navigate through networks of music artists. RAMA is built upon a dataset of artist similarity and user-defined tags regarding 583.000 artists gathered from Last.fm. This third-party, publicly available, data about artists similarity and artists tags is used to produce a visualization of artists relations...

A sample of the Myspace artist network is examined to investigate the relationship between social connectivity and audio-based similarity. Audio data from the Myspace artist pages is analyzed using well-established signal-based music information retrieval techniques. In addition to showing that the Myspace artist network exhibits many of the properties common to social networks, we show there i...

Abstract We explore a simple, web-based method for predicting the genre of a given artist based on co-occurrence analysis, i.e. analyzing co-occurrences of artist and genre names on music-related web pages. To this end, we use the page counts provided by Google to estimate the relatedness of an arbitrary artist to each of a set of genres. We investigate four different query schemes for obtainin...

Stephen’s work deals with the impact of human activity upon landscape and habitat, referencing diverse and sometimes obscure subject matter touching on industrial and scientific histories. It can take a number of forms, from drawing and painting through to handmade books and installation. He is currently acting as associate artist to ROBUST a research project investigating the cleaning of conta...

Functional Magnetic Resonance Imaging (fMRI) scans of a skilled portrait artist and of a nonartist were made as each drew a series of faces. There was a discernible increase in blood flow in the right-posterior parietal region of the brain for both the artist and non-artist during the task, a site normally associated with facial perception and processing. However, the level of activation appear...