SYSTEMS AND METHODS FOR DETECTING CALL PROVENANCE FROM CALL AUDIO

Patent №

US 11,050,876

Granted

2021-06-29

Filed 2019

Owner

GEORGIA TECH RESEARCH CORPORATION

Lab

AI components

3

ml · speech · kr

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16730666

Various embodiments of the invention are detection systems and methods for detecting call provenance based on call audio. An exemplary embodiment of the detection system can comprise a characterization unit, a labeling unit, and an identification unit. The characterization unit can extract various characteristics of networks through which a call traversed, based on call audio. The labeling unit can be trained on prior call data and can identify one or more codecs used to encode the call, based on the call audio. The identification unit can utilize the characteristics of traversed networks and the identified codecs, and based on this information, the identification unit can provide a provenance fingerprint for the call. Based on the call provenance fingerprint, the detection system can identify, verify, or provide forensic information about a call audio source.

Machine learningSpeechKnowledge representationH04M 3/2281H04L 43/0829H04L 65/1076H04M 1/68H04W 12/02H04W 24/08H04M 7/0078H04M 2203/558+6 more

AI classification

Speech0.98
Knowledge representation0.91
Machine learning0.81
Natural language0.07
AI hardware0.04
Vision0.01
Planning0.00
Evolutionary computation0.00

Ownership

GEORGIA TECH RESEARCH CORPORATION

assignment · 513890332

Assignors

BALASUBRAMANIYAN, VIJAY, AHAMAD, MUSTAQUE, TRAYNOR, PATRICK GERARD, HUNTER, MICHAEL THOMAS, POONAWALLA, AAMIR

On an employer assignment, the assignors are typically the inventors.

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