AES E-Library

Searching, Analyzing, and Recommending Audio Content

[Feature] Music Information Retrieval (MIR) is the technology behind systems capable of searching, analyzing, and recommending audio content. However, this technology is still less than ten years old. With the vast amount of digitally-encoded music now available to potential users, there is an increasing demand for systems that recommend songs, enable searching for tunes by humming, and facilitate the browsing of large archives. These are just a few of the possible applications for MIR, many of which are finding their way into everyday devices such as mobile phones. Devices have grown rapidly in their processing power and features, and there has been an explosion in the availability of digital media content on the Internet. At the recent AES 125th Convention, Jay LeBoeuf from Imagine Technologies chaired a workshop of experts to discuss research directions and applications of MIR technology. Among them were Markus Cremer of Gracenote, Matthias Gruhne of Fraunhofer Institute for Digital Media Technology, Tristan Jehan of The Echo Nest, and Keyvan Mohajer of Melodis Corporation.

Author: Rumsey, Francis
JAES Volume 57 Issue 3 pp. 166-169; March 2009 Import into BibTeX

Click to purchase paper or login as an AES member. If your company or school subscribes to the AES Journal then you can look for this paper in the institutional version of the Online Journal. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $20 for non-members, $5 for AES members and is free for E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD JAES57)   /jaes57/3/pg166.pdf

Start a discussion about this feature!