Searching, Analyzing, and Recommending Audio Content

Rumsey F. Searching, Analyzing, and Recommending Audio Content. J Audio Eng Soc. 2009;57(3):166-169. Available from: https://aes.org/publications/elibrary-page/?id=14812

@article{Rumsey2009_14812,
  author = {Rumsey, Francis},
  title = {{Searching, Analyzing, and Recommending Audio Content}},
  journal = {Journal of the Audio Engineering Society},
  volume = {57},
  number = {3},
  pages = {166--169},
  year = {2009},
  month = mar,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=14812}
}

TY  - JOUR
TI  - Searching, Analyzing, and Recommending Audio Content
AU  - Rumsey, Francis
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 57
IS  - 3
SP  - 166
EP  - 169
PY  - 2009
DA  - 2009/03/06
UR  - https://aes.org/publications/elibrary-page/?id=14812
PB  - Audio Engineering Society
LA  - en
AB  - [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.
ER  -