MTG-DB: a repository for music audio processing

Author

Cano, Pedro ; Koppenberger, Markus ; Ferradans, Sira ; Martinez, Alvaro ; Gouyon, Fabien ; Sandvold, Vegard ; Tarasov, Vadim ; Wack, Nicolas

Author_Institution

Inst. de l´´Audiovisual, Univ. Pompeu Fabra, Barcelona, Spain

fYear

2004

fDate

13-14 Sept. 2004

Firstpage

2

Lastpage

9

Abstract

Content-based audio processing researchers need audio and its related metadata to develop and test algorithms. We present a common repository of audio, metadata, ontologies and algorithms. We detail the hardware implementation, in the form of massive storage and computation cluster, the software and databases design and the ontology management of the current system. The repository, as far as copyright licenses allow, is open to researchers outside the music technology group to test and evaluate their algorithms.

Keywords

audio databases; audio signal processing; content-based retrieval; learning (artificial intelligence); meta data; music; ontologies (artificial intelligence); MTG-DB; computation cluster; content-based audio processing; copyright licenses; databases design; machine learning; metadata; music; ontology management; Clustering algorithms; Databases; Instruments; Machine learning algorithms; Multiple signal classification; Ontologies; Robustness; Signal processing algorithms; Taxonomy; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Web Delivering of Music, 2004. WEDELMUSIC 2004. Proceedings of the Fourth International Conference on

Print_ISBN

0-7695-2157-6

Type

conf

DOI

10.1109/WDM.2004.1358093

Filename

1358093