- Seattle WA, US Nam Kim - Seattle WA, US Michael Pruitt - Seattle WA, US Mark Corley - Seattle WA, US
International Classification:
H04M 3/436 H04M 3/42 H04M 3/22 G10L 17/26
Abstract:
The disclosed system and method detect robocalls using biometric voice fingerprints. The system receives audio input representing a plurality of telephone calls. For at least a portion of the telephone calls, the system analyzes the received audio based on a voice biometrics detection model to identify one or more biometric indicators characterizing a speaker in the analyzed telephone call. The system generates and stores a voice fingerprint characterizing the speaker based on the biometric indicators, and a time of the analyzed telephone call. The system analyzes stored voice fingerprints and times corresponding to speakers in the analyzed telephone calls to determine a frequency of occurrence of each voice fingerprint within an analyzed timeframe. If the frequency of occurrence of a voice fingerprint exceeds a threshold call quantity within the analyzed timeframe, the voice fingerprint is characterized as being associated with a robocaller.
Michael Gorges, Laura Sanders, Andy Smith, Joe Gorczyca, Nancy Dwyer, Robert Hausladen, Frank Severino, Hunter Phelan, Mark Sicking, Jim Panus, Mary Mack, Michael Kurtz