Design and development of a content-based music search engine
by Doug Turnbull, Graduate Student, UC San Diego
This 61 minute program gets a bit technical but if your not a geek, it’s still fascinating.

From the abstract:

If you go to Amazon.com or the Apple Itunes store, your ability to search for new music will largely be limited by the `query-by-metadata’ paradigm: search by song, artist or album name. However, when we talk or write about music, we use a rich vocabulary of semantic concepts to convey our listening experience. If we can model a relationship between these concepts and the audio content, then we can produce a more flexible music search engine based on a ‘query-by-semantic- description’ paradigm. In this talk, I will present a computer audition system that can both annotate novel audio tracks with semantically meaningful words and retrieve relevant tracks from a database of unlabeled audio content given a text-base query.

Source: ResearchChannel.com, Microsoft

This entry was posted on Thursday, February 21st, 2008 and is filed under Info Management and Retrieval, Information Science, Search News. You can follow any responses to this entry through the RSS 2.0 feed. Responses are currently closed, but you can trackback from your own site.