US Patent Issued to Google on Sept. 30 for "Training a language model of an end-to-end automatic speech recognition model using random encoder features" (California Inventors)

ALEXANDRIA, Va., Sept. 30 -- United States Patent no. 12,431,122, issued on Sept. 30, was assigned to Google LLC (Mountain View, Calif.).

"Training a language model of an end-to-end automatic speech recognition model using random encoder features" was invented by Adam Michael Stooke (San Francisco), Khe Chai Sim (Dublin, Calif.) and Mason Vijay Chua (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A method includes obtaining a training text sample, the training text sample not paired with corresponding audio data, and generating a sequence of pseudo-random encoder variables. The method also includes processing, using a decoder of a sequence transduction model, the sequence of pseudo-rand...