Ear Machine Launches myMicSound

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