In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The stu...
This paper describes the development of a polyphonic music retrieval system with the n-gram approach. Musical n-grams are constructed from polyphonic musical performances in MIDI ...
This article explores the role visual browsing can play within a digital music library. The context to the work is provided through a review of related techniques drawn from the ...
David Bainbridge, Sally Jo Cunningham, J. Stephen ...
This paper proposes to use the techniques of Music Information Retrieval in the context of Music Interaction. We describe a system, the SongSampler, inspired by the technology of ...
We propose a general approach to discriminant feature extraction and fusion, built on an optimal feature transformation for discriminant analysis [6]. Our experiments indicate tha...
The systematic testing of the very many parameters and algorithmic variants involved in the design of high-level music descriptors at large, and similarity measure in particular, ...
Tempo estimation is fundamental in automatic music processing and in many multimedia applications. This paper presents an automatic tempo tracking system that processes audio reco...
User studies focusing upon real-life music information needs, uses and seeking behaviours are still very scarce in the music information retrieval (MIR) and music digital library ...
An audio fingerprint is a compact representation of the perceptually relevant parts of audio content. A suitable audio fingerprint can be used to identify audio files, even if ...
Time series representations are common in MIR applications such as query-by-humming, where a sung query might be represented by a series of ‘notes’ for database retrieval. Whi...
Norman H. Adams, Mark A. Bartsch, Jonah Shifrin, G...