Contributions to Books:

T. Lidy, A. Rauber:
"Music Information Retrieval";
in: "Handbook of Research on Digital Libraries: Design, Development, and Impact", issued by: IGI Global; IGI Global, 2009, ISBN: 978-1-59904-879-6, 448 - 456.

English abstract:
This chapter provides an overview of the relatively young but increasingly important domain of Music
Information Retrieval, an Information Retrieval subdomain, which investigates efficient and intelligent
methods to analyze, recognize, retrieve and organize music. After describing the background and the
problems that are addressed by research in this domain the chapter gives a brief introduction to methods
for the extraction of semantic descriptors from music, which are fundamental to a great number of tasks
in Music Information Retrieval. In the subsequent sections, music retrieval, music classification and
music library visualization systems are described. All of these systems are developed for the purpose of
enhancing organization, access and retrieval in potentially large digital music libraries.

Music Information Retrieval, Audio Signal Analysis, Digital Audio, Symbolic Music, Feature Extraction, Self-Organizing Map

Created from the Publication Database of the Vienna University of Technology.