Share Email Print

Proceedings Paper

Music retrieval in ICOR
Author(s): Lutz Finsterle; Stephan Fischer; Ivica Rimac; Ralf Steinmetz
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In this paper we describe music retrieval in ICOR, a project of Darmstadt TU. It is the goal of ICOR to find new interfaces to support applications of music video and music CDs. Although the project consists of audio and video analysis we concentrate on a description of the audio algorithms in this paper. We describe our MPEG-7 like data structure to store meta information for music pieces and explain which algorithms we use to analyze the content of music pieces automatically. We currently use an applause detection to distinguish live music from studio recordings, a genre classifier to distinguish pieces with beats form classical music, and a singer recognition.

Paper Details

Date Published: 24 August 1999
PDF: 12 pages
Proc. SPIE 3846, Multimedia Storage and Archiving Systems IV, (24 August 1999); doi: 10.1117/12.360414
Show Author Affiliations
Lutz Finsterle, Univ. of Stuttgart (Germany)
Stephan Fischer, Technical Univ. of Darmstadt (Germany)
Ivica Rimac, Technical Univ.of Darmstadt (Germany)
Ralf Steinmetz, Technical Univ. of Darmstadt and German National Research Ctr. for Information Technol (Germany)

Published in SPIE Proceedings Vol. 3846:
Multimedia Storage and Archiving Systems IV
Sethuraman Panchanathan; Shih-Fu Chang; C.-C. Jay Kuo, Editor(s)

© SPIE. Terms of Use
Back to Top