Ear Machine releases app to make picking a microphone easy
(Dave Molter | Posted 2011-02-20)
Having trouble picking the right microphone? Can't easily hear the difference even when you've narrowed your choice down to only a few? Ear Machine feels your pain and wants to help.
myMicSound is 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:
About Ear Machine
Ear Machine LLC has a simple mission: to build tools that help you get the sound you want. Ear Machine’s intelligent audio software empowers musicians, producers, and regular folks to use their ears, and to think artistically and intuitively to discover what sounds best to them. Ear Machine’s products rely on state-of-the-art knowledge in computer science, psychoacoustics, and auditory modeling. Press contact: firstname.lastname@example.org.
From a press release.