In This Section
Audibility of a CD-Standard A/DA/A Loop Inserted into High-Resolution Audio Playback - September 2007
Sound Board: Food for Thought, Aesthetics in Orchestra Recording - April 2015
Reflecting on Reflections - June 2014
AES Journal Forum
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.
No AES members have commented on this feature yet.
Subscribe to this discussion
Start a discussion!
If you are not yet an AES member and have something important to say about this feature then we urge you to join the AES today and make your voice heard. You can join online today by clicking here.