Improving Noise Analysis with the Sound of Silence

Roland Piquepaille writes "Researchers at Rockefeller University have built a mathematical method and written an algorithm based on the way our ears process sound that provides a better way to analyze noise than current methods. Not only is their algorithm faster and more accurate than previous ones used in speech recognition or in seismic analysis, it's also based on a very non-intuitive fact: they know what a sound was by knowing when there was no sound. 'In other words, their pictures were being determined not by where there was volume, but where there was silence.' The researchers think that their algorithm can be used in many applications and that it will soon give computers the same acuity as human ears. Read more for additional references and pictures about this algorithm."

Comments

Re:Ironic

[PitaBred]

Except that's not what they're saying. There is volume. It's just that the levels are even across the board. You can tell the difference between silence and white noise, can't you?
And if you noticed on the histographs of the sounds, that the white noise was just even distribution with small points of silence.
You almost got an easy "insightful". I certainly hope that the mods know better.

Why?

[spun]

He's stopped linking to his damned blog, so he's not getting undeserved hits. I too was kinda pissed when every third story was a piquepaille post, where he reprinted stories from other sources nearly verbatim interspersed with random pointless comments, but he's not doing that anymore, so what's the big deal?