Extracting audio from visual information

Extracting audio from visual information.

Researchers at MIT, Microsoft, and Adobe have developed an algorithm that can reconstruct an audio signal by analyzing minute vibrations of objects depicted in video. In one set of experiments, they were able to recover intelligible speech from the vibrations of a potato-chip bag photographed from 15 feet away through soundproof glass.
In other experiments, they extracted useful audio signals from videos of aluminum foil, the surface of a glass of water, and even the leaves of a potted plant. The researchers will present their findings in a paper at this year’s Siggraph, the premier computer graphics conference.

Join 4,000+ makers on Adafruit’s Discord channels and be part of the community! http://adafru.it/discord

Learn “How Computers Work” with Bill Gates, Ladyada and more – From Code.org !

CircuitPython in 2018 – Python on Microcontrollers is here!

Have an amazing project to share? Join the SHOW-AND-TELL every Wednesday night at 7:30pm ET on Google+ Hangouts.

Join us every Wednesday night at 8pm ET for Ask an Engineer!

Follow Adafruit on Instagram for top secret new products, behinds the scenes and more https://www.instagram.com/adafruit/

Maker Business — Prototyping PCBs with Particle, a guide from a pro in the field #makerbusiness

Wearables — From mat to hat

Electronics — Even lower power!

Biohacking — Nectome’s Brain Preservation and Backup Service Plan

Python for Microcontrollers — Scott ([email protected]) on the Amp Hour podcast!

Get the only spam-free daily newsletter about wearables, running a "maker business", electronic tips and more! Subscribe at AdafruitDaily.com !

No Comments

No comments yet.

Sorry, the comment form is closed at this time.