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Ear Machine today unveiled myMicSound, a free web application that 
simplifies the difficult task of using your ears to decide which
microphone to purchase. The application learns the user’s preference
by analyzing ratings of example microphones. myMicSound then returns
a list that ranks microphones by the probability that the user will
like their sounds.

“myMicSound is the first step toward a fundamental change in how people
decide to purchase audio equipment,” said Andrew Sabin, Ear Machine owner
and psychoacoustics researcher. “Currently, people make these decisions by
receiving recommendations from friends, or by conducting a
clumsily-organized listening comparison. myMicSound offers users a simple
format to use their own ears to conduct a free, controlled, and
comprehensive listening test.”

Users can either submit their own recording, or use one from myMicSound’s
collection. myMicSound removes the sound of the microphone used to make that
recording, and  then simulates the sound of new microphones. myMicSound
carefully considers factors influencing the sound of the microphone, such as
the proximity to the sound source, the polar pattern, and whether filters
are active.

myMicSound is the first sound-based recommendation engine in the audio
equipment market. Its software algorithm relies on state-of-the-art
knowledge in both auditory perception and computer science. Similar
algorithms, such as the one used by Pandora, are widely used in music
recommendation.

To watch a video or use myMicSound, visit:

www.mymicsound.com

myMicSoundBig.jpg


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