ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,866, issued on July 22, was assigned to International Business Machines Corp. (Armonk, N.Y.).
"Reducing insertion errors in neural transducer-based automatic speech recognition" was invented by Takashi Fukuda (Tokyo).
According to the abstract* released by the U.S. Patent & Trademark Office: "Techniques for training a neural transducer-based automatic speech recognition model to be robust against background additive noise and thereby reducing insertion errors. In one aspect, a method of training an automatic speech recognition model includes: generating a modified training data set from an initial training dataset by concatenating one-word utterances with a preceding or a succeed...