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Ear Machine today unveiled iQ, an equalizer plug-in designed to learn the 
user's preference. iQ recommends equalizer settings by analyzing user ratings
of examples. The result is displayed in a traditional equalizer window where
users can fine-tune the recommendation.

"The idea for iQ came during a recording session when a client asked me to make the
vocal track sound 'buttery'," said Andrew Sabin, Ear Machine owner and
psychoacoustics researcher.  "The client knew what he wanted, but wasn't able to
describe the settings that he was after. We designed iQ to help engineers
communicate more easily with their clients, and to help beginning audio engineers
figure out the sound they're looking for."

With iQ, users indicate how much they like each of a series of example settings by
arranging dots from left to right, where each dot represents a different EQ setting.
iQ uses a model of auditory perception to gradually hone in on the user's
preference. A meter at the bottom of the window indicates when iQ thinks it has
learned what the user wants. The user then clicks "Create EQ" and iQ's
recommendation is displayed in a traditional equalizer window. Users can also double
click any dot to display it in the equalizer window.

iQ is the first audio plug-in that is designed to learn a user's preference. Ear
Machine recently launched a related free web app (myMicSound) that is designed to
learn a user's preferred microphone characteristics.

iQ is compatible with AU hosts or VST hosts on the Mac or PC, and is compatible with
RTAS wrappers.

See www.ear-machine.com/iQ.html to watch a video, purchase the plug-in, or download
a free demo.


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