US Patent Issued to VAIL SYSTEMS on Nov. 4 for "System and method using machine learned voiceprint sets for efficient determination of voice membership using enhanced score normalization and locality sensitive hashing" (Illinois Inventors)

ALEXANDRIA, Va., Nov. 6 -- United States Patent no. 12,462,810, issued on Nov. 4, was assigned to VAIL SYSTEMS INC. (Deerfield, Ill.).

"System and method using machine learned voiceprint sets for efficient determination of voice membership using enhanced score normalization and locality sensitive hashing" was invented by Vijay K. Gurbani (Lisle, Ill.), Yu Zhou (Naperville, Ill.) and Bopsi Chandramouli (Palatine, Ill.).

According to the abstract* released by the U.S. Patent & Trademark Office: "A system and method for identifying a speaker based on dual calculation of voiceprint match scores, using machine learned voiceprint sets and machine learned hashing models to reduce a voiceprint set, normalizing the joint scores, and performing use...