DART: A Framework for Distributed Audio Analysis and Music Information Retrieval

DART: A Framework for Distributed Audio Analysis and Music Information Retrieval

Eddie Al-Shakarchi (Cardiff University, UK) and Ian Taylor (Louisiana State University, USA)
Copyright: © 2008 |Pages: 18
DOI: 10.4018/978-1-59904-663-1.ch010
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Abstract

This chapter introduces the DART (Distributed Audio Retrieval using Triana) project as a framework for facilitating the distributed processing and analysis of audio and Music Information Retrieval. The chapter begins by discussing the background and history of Grid and P2P technologies, the Triana framework, the current tools already developed for audio-rate signal processing, and also gives a description of how Triana is employing a decentralized P2P framework to support MIR applications. A music recommendation system is proposed to demonstrate the DART framework, and the chapter also documents the DART team’s progress towards the creation of a working system. The authors hope that introducing the DART system to the MIR community will not only inform them of a research tool that will benefit the entire field of MIR, but also establish DART as an important tool for the rest of the audio and research communities.

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