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Journals and Conferences
Though music is fundamentally an aural phenomenon, we often communicate about music through visual means. The paper examines a number of visualization techniques developed for music, focusing especially on those developed for music analysis by specialists in the field, but also looking at some less successful approaches. It is hoped that, by presenting them… (More)
The Indiana University Digital Music Library project plans to create a digital library testbed system containing music in a variety of formats, designed to support research and education in the field of music and to serve as a platform for digital library research. Prototypes of user interfaces to the system will be demonstrated.
“Academic musicians,” students and faculty in schools of music, have music IR needs that differ from those of the mass-market consumer. This paper describes the characteristics of this user group, the types of musical information they use and how they use them, and the kinds of IR tasks they need to perform. A section describes the special needs of the… (More)
The Variations2 digital music library currently supports music in audio and score-image formats. In a future version, we plan to add music in a symbolic form. This paper describes our work defining a music representation suitable for the needs of our users.
The Variations2 Digital Music Library project at Indiana University provides the opportunity to develop visualization methods aimed at students in schools of music. This paper describes several schemes involving the visualization of musical content.
Digital music libraries provide enhanced access and functionality that facilitates scholarly research and education. This panel will present a report on the progress of several major research and development projects in digital music libraries.
Neural networks are used to study two issues pertaining to atonal music. In the first part of the paper, feed-forward neural networks, using a variant of the backpropagation learning algorithm, try to learn a variety of abstract theoretical constructs from pitch-class set theory. First, learning the properties of individual sets is studied. Then a network's… (More)
This demonstration will show version 1.0 of the Variations2 digital library system developed by Indiana University. Variations2 is being built to provide access to music in a variety of formats-sound recordings, scanned musical scores, computer score notation files, and video-and is designed to support research and learning in the field of music.