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"[Imagine Research's] software is Google for guitar riffs, dog barks, and explosions."
Businessweek: MediaMined: Jay LeBoeuf's Search Engine for Sounds
Issue: November 28, 2011, Page 48, Technology: Innovator
San Francisco Chronicle: MediaMined: Audio search software indexes sounds
This article appeared on page D - 1 of the San Francisco Chronicle on Monday November 28, 2011.
MSBNC: MediaMined: Audio search software indexes sounds
Business Insider: The Best Small Business Takeaways
BBC World's flagship technology programme Click and host Gareth Mitchell discuss MediaMined, sound recognition, how to teach a computer how to listen, and sound similarity search with Imagine Research CEO, Jay LeBoeuf.
Gareth Mitchell explains: "Wouldn't it be great to have a sonic search engine, so instead of typing a search term in and then seeing a whole load of returns in text, you could instead play a sound or a tune and it would find you sounds that would either match or resemble it. It would be very useful if you worked in the film industry or manage audio archives. Or even if you are a just a music fan seeking out genres or a particular tune. A California firm called Imagine Research has been working on a technology called MediaMined; founder and CEO Jay LeBoeuf has been telling me more..."
"Indexing video and indexing audio is incredibly difficult. Any tool that makes it easier is a good thing. The similarity [search] [...] is what sets this apart for me...", comments Bill Thompson, BBC tech writer and guest on Click.
The program aired on BBC World on November 22, 2011, with the Imagine Research story beginning at 6 minutes and 45 seconds into the broadcast.
Softpedia: New Artificial Intelligence Tool Can Understand Sound"
"A group of researchers from the San Francisco, California-based Imagine Research has just released MediaMined,
a new artificial intelligence system that is capable of understanding and indexing sound..."
Breaking the Search Engine Sound Barrier"
Newly released software is taking on the last challenge in audio searching. The tool, called MediaMined, is an artificial intelligence system that can make sense of what it hears, whether the sounds are speech, music, or even a sound effect like an explosion or creaking door.
Lockergnome: In Search of Sound with MediaMined
"[...] so text and image searches are pretty well represented (and getting more sophisticated all the time). But what about sounds?
Where can you turn when you need to dig up a sample of hoodlums exchanging gunfire, a specific snippet of chamber music,
or Yoda belittling that dorky Skywalker kid in the swamps of Dagobah? [...]"
Sound Searching: MediaMined offers sound-object recognition
"[...] this opens up all kinds of possibilities for music-matching and recommendation services beyond "Customers who bought this also bought these" and genre-based lists. The possibilities are vast and the only question is how long will it be before Google makes them an offer they can't refuse (kidding, sort of)."

Read this article on the NSF web site
"Audio engineers have developed a novel artificial intelligence system for understanding and indexing sound, a unique tool for both finding and matching previously un-labeled audio files...."
This article also appears in the following publications:
- Popular Mechanics
- Quest - Science Magazine
- Science Newsline
- e! Science News
- PhysOrg
- Science Daily
- Product Design & Development
- Kurzweil Accelerating Intelligence
- New AI-Based Tool Searches Audio Files - Computing Now, IEEE Computing
- Communications of the ACM
- InQuid
- Spy Ghana
- Audio Silver Lining
- Virtual Worldlets
Rumsey, Francis. Journal of the Audio Engineering Society, Volume 57 Issue 3, pp. 166-169. March 2009.
Read this article on the Audio Engineering Society web site
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