ALEXANDRIA, Va., June 25 -- United States Patent no. 12,340,794, issued on June 24, was assigned to International Business Machines Corp. (Armonk, N.Y.).

"Language identification classifier trained using encoded audio from encoder of pre-trained speech-to-text system" was invented by Zvi Kons (Yoqneam Ilit, Israel).

According to the abstract* released by the U.S. Patent & Trademark Office: "An example system includes a processor to receive encoded audio from an encoder of a pre-trained speech-to-text (STT) model. The processor is to further train a language identification (LID) classifier to detect a language of the encoded audio using training samples labeled by language."

The patent was filed on July 27, 2022, under Application No. 17/...