Nam Yong Kim

US Patent:

20220224795, Jul 14, 2022

Filed:

Dec 22, 2021

Appl. No.:

17/559357

Inventors:

- 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
G10L 17/26
H04M 3/22

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.

US Patent:

20210136200, May 6, 2021

Filed:

Oct 30, 2020

Appl. No.:

17/086284

Inventors:

- 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.

Author:

Nam H. Kim

ISBN #:

0387233369