Artificial Intelligence Produces Realistic Sounds That Fool Humans

From MIT News:  Video-trained system from MIT’s Computer Science and Artificial Intelligence Lab could help robots understand how objects interact with the world.  Researchers from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have demonstrated an algorithm that has effectively learned how to predict sound: When shown a silent video clip of an object being hit, the algorithm can produce a sound for the hit that is realistic enough to fool human viewers.

This “Turing Test for sound” represents much more than just a clever computer trick: Researchers envision future versions of similar algorithms being used to automatically produce sound effects for movies and TV shows, as well as to help robots better understand objects’ properties... (full article)(full paper)

 

Comments (0)

This post does not have any comments. Be the first to leave a comment below.


Post A Comment

You must be logged in before you can post a comment. Login now.

Featured Product

Omron Adept Lynx Cart Transporter

Omron Adept Lynx Cart Transporter

The Omron Adept Lynx Cart Transporter is an Autonomous Intelligent Vehicle (AIV) designed to attach to movable carts and transport them from a pickup location to a drop off location. Applications include line-side inventory replenishment, moving flow racks, transporting Work in Progress (WIP) between process steps, and moving finished goods to the warehouse. The Lynx Cart transporter leverages Natural Feature Navigation to autonomously find a path through the facility without the need for any facility modifications necessary.