US Patent Issued to Google on July 22 for "Exploring heterogeneous characteristics of layers in ASR models for more efficient training" (California Inventors)

ALEXANDRIA, Va., July 23 -- United States Patent no. 12,367,865, issued on July 22, was assigned to Google LLC (Mountain View, Calif.).

"Exploring heterogeneous characteristics of layers in ASR models for more efficient training" was invented by Dhruv Guliani (Mountain View, Calif.), Lillian Zhou (Mountain View, Calif.), Andreas Kabel (Mountain View, Calif.), Giovanni Motta (Mountain View, Calif.) and Francoise Beaufays (Mountain View, Calif.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A computer-implemented method includes obtaining a multi-domain (MD) dataset and training a neural network model using the MD dataset with short-form data withheld (MD-SF). The neural network model includes a plurality of l...