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...

• Type: Conference
• Year: 2008
• Where: ECIR
• Authors: Peter Knees, Tim Pohle, Markus Schedl, Dominik Schnitzer, Klaus Seyerlehner
• Keywords: ECIR 2008, Information Technology, Music Pieces, Music Search Engines, Natural Language Queries