US Patent Issued to TOYOTA JIDOSHA, ETH ZURICH on April 29 for "Method for training a neural network to describe an environment on the basis of an audio signal, and the corresponding neural network" (Swiss, Belgian Inventors)

ALEXANDRIA, Va., June 9 -- United States Patent no. 12,288,567, issued on April 29, was assigned to TOYOTA JIDOSHA K.K. (Toyota, Japan) and ETH ZURICH (Zurich).

"Method for training a neural network to describe an environment on the basis of an audio signal, and the corresponding neural network" was invented by Wim Abbeloos (Brussels), Arun Balajee Vasudevan (Zurich), Dengxin Dai (Zurich) and Luc Van Gool (Zurich).

According to the abstract* released by the U.S. Patent & Trademark Office: "A neural network, a system using this neural network and a method for training a neural network to output a description of the environment in the vicinity of at least one sound acquisition device on the basis of an audio signal acquired by the sound acq...