Moaning, screaming and titillating laughs are just some of the sounds of pornography that we know of. The sound of sex does not need the mind of a genius or the imagination of a normal person in order to know what a porn video sounds like. What if these sounds will be the determining factor for our computers to know the signal to filter porn?
At present, there exists several computer-monitoring software that analyze images to discern if photos have explicit contents or not. However, most of them struggle to distinguish indecent imagery from the contents with large flesh-colored regions, such as a person in bathing suit or a close-up face.
Analyzing the audio for sexual resonance could probably solve the problem most parents face with their kids. Electrical engineers MyungJong Kim and Hoirin Kim at the Korea Advanced Institute of Science and Technology in Daejeon, South Korea are putting together a signal-processing technique called the Radon transform, which creates spectrograms of a variety of audio clips.







