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ECIR
2008
Springer

A Document-Centered Approach to a Natural Language Music Search Engine

8 years 11 months ago
A Document-Centered Approach to a Natural Language Music Search Engine
We propose a new approach to a music search engine that can be accessed via natural language queries. As with existing approaches, we try to gather as much contextual information as possible for individual pieces in a (possibly large) music collection by means of Web retrieval. While existing approaches use this textual information to construct representations of music pieces in a vector space model, in this paper, we propose a document-centered technique to retrieve music pieces relevant to arbitrary natural language queries. This technique improves the quality of the resulting document rankings substantially. We report on the current state of the research and discuss current limitations, as well as possible directions to overcome them. 1 Motivation and Context While digital music databases contain several millions of audio pieces nowadays, indexing of these collections is in general still accomplished using a limited set of traditional meta-data descriptors like artist name, track na...
Peter Knees, Tim Pohle, Markus Schedl, Dominik Sch
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where ECIR
Authors Peter Knees, Tim Pohle, Markus Schedl, Dominik Schnitzer, Klaus Seyerlehner
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