J. Stephen Downie

Learn More
The Music Information Retrieval Evaluation eXchange (MIREX) is the community-based framework for the formal evaluation of Music Information Retrieval (MIR) systems and algorithms. By looking at the background, structure, challenges, and contributions of MIREX this paper provides some insights into the world of MIR research. Because MIREX tasks are defined(More)
The publishers of the Annual Review of Information Science and Technology 37, Information Today, Inc., have given their kind permission for this article, “Music Information Retrieval” to be mounted on the music-ir.org website. Individuals may make use of this article in accordance with accepted scholarly practice. Beyond individual scholarly use, you may(More)
Recent music information retrieval (MIR) research pays increasing attention to music classification based on moods expressed by music pieces. The first Audio Mood Classification (AMC) evaluation task was held in the 2007 running of the Music Information Retrieval Evaluation eXchange (MIREX). This paper describes important issues in setting up the task,(More)
This paper is an extended abstract which provides a brief preliminary overview of the 2005 Music Information Retrieval Evaluation eXchange (MIREX 2005). The MIREX organizational framework and infrastructure are outlined. Summary data concerning the 10 evaluation contests is provided. Key issues affecting future MIR evaluations are identified and discussed.(More)
Multi-pitch estimation of sources in music is an ongoing research area that has a wealth of applications in music information retrieval systems. This paper presents the systematic evaluations of over a dozen competing methods and algorithms for extracting the fundamental frequencies of pitched sound sources in polyphonic music. The evaluations were carried(More)
Mood is an emerging metadata type and access point in music digital libraries (MDL) and online music repositories. In this study, we present a comprehensive investigation of the usefulness of lyrics in music mood classification by evaluating and comparing a wide range of lyric text features including linguistic and text stylistic features. We then combine(More)
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 (MDL) fields. We are conducting a multigroup survey in an attempt to acquire information that can help eradicate false assumptions in designing MIR systems. Our goal is to provide(More)
We developed, and then evaluated, a music information retrieval (MIR) system based upon the intervals found within the melodies of a collection of 9354 folksongs. The songs were converted to an interval-only representation of monophonic melodies and then fragmented t into length-n subsections called n-grams. The length of these n-grams and the degree to(More)
There is a growing interest in developing and then evaluating Music Information Retrieval (MIR) systems that can provide automated access to the mood dimension of music. Mood as a music access feature, however, is not well understood in that the terms used to describe it are not standardized and their application can be highly idiosyncratic. To better(More)