Earlier quoted context omitted.
You missed the part where 60 frames per second only allowed to identify the speaker and the number of people in the room. > Because of a quirk in the design of most cameras’ sensors, the researchers were able to infer information about high-frequency vibrations even from video recorded at a standard 60 frames per second. While this audio reconstruction wasn’t as faithful as it was with the high-speed camera, it may s…
If you watch the video in the post, the demo is surprisingly accurate.
Extracting audio from visual information
131–133 of 133 posts
Re: Extracting audio from visual information
#132How much vibration does sound actually cause an object. I tried humming near various objects and noticed nothing. I used to be really interested in early mechanical microphones and sound recording, but I couldn't find much information on how they work either.
Now, a 2000 fps camera can see things that a naked eye can not.
Re: Extracting audio from visual information
#133How much vibration does sound actually cause an object. I tried humming near various objects and noticed nothing. I used to be really interested in early mechanical microphones and sound recording, but I couldn't find much information on how they work either.
Your eyes wouldn't be able to see a 2000 Hz vibration, most vibrations that we perceive as sounds (except from the very low vibrations) are so fast that even with a huge amplitude they'd be just a motion blur for our eyes. Now, a 2000 fps camera can see things that a naked eye can not.
Almost missed your comment btw.