Patents by Inventor Michael Thomas Hunter
Michael Thomas Hunter has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20250260764Abstract: 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.Type: ApplicationFiled: May 1, 2025Publication date: August 14, 2025Applicant: GEORGIA TECH RESEARCH CORPORATIONInventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Gerard TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
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Patent number: 12355914Abstract: 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.Type: GrantFiled: December 15, 2023Date of Patent: July 8, 2025Assignee: Georgia Tech Research CorporationInventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Traynor, Michael Thomas Hunter, Aamir Poonawalla
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Patent number: 12323553Abstract: 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.Type: GrantFiled: February 8, 2024Date of Patent: June 3, 2025Assignee: Georgia Tech Research CorporationInventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerald Traynor, Michael Thomas Hunter, Aamir Poonawalla
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Publication number: 20240223697Abstract: 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.Type: ApplicationFiled: February 8, 2024Publication date: July 4, 2024Applicant: GEORGIA TECH RESEARCH CORPORATIONInventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Traynor, Michael Thomas HUNTER, Aamir POONAWALLA
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Publication number: 20240137439Abstract: 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.Type: ApplicationFiled: December 15, 2023Publication date: April 25, 2024Applicant: GEORGIA TECH RESEARCH CORPORATIONInventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
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Patent number: 11849065Abstract: 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.Type: GrantFiled: June 3, 2021Date of Patent: December 19, 2023Assignee: Georgia Tech Research CorporationInventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
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Publication number: 20210295861Abstract: 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.Type: ApplicationFiled: June 3, 2021Publication date: September 23, 2021Inventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Gerard TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
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Patent number: 11050876Abstract: 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.Type: GrantFiled: December 30, 2019Date of Patent: June 29, 2021Assignee: Georgia Tech Research CorporationInventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
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Publication number: 20200137222Abstract: 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.Type: ApplicationFiled: December 30, 2019Publication date: April 30, 2020Inventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Gerard TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
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Patent number: 10523809Abstract: 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.Type: GrantFiled: November 9, 2016Date of Patent: December 31, 2019Assignee: Georgia Tech Research CorporationInventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
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Publication number: 20170126884Abstract: 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.Type: ApplicationFiled: November 9, 2016Publication date: May 4, 2017Applicant: Georgia Tech Research CorporationInventors: Vijay BALASUBRAMANIYAN, Mustaque AHAMAD, Patrick Gerard TRAYNOR, Michael Thomas HUNTER, Aamir POONAWALLA
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Patent number: 9516497Abstract: 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.Type: GrantFiled: May 18, 2015Date of Patent: December 6, 2016Assignee: GEORGIA TECH RESEARCH CORPORATIONInventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
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Publication number: 20150257001Abstract: 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.Type: ApplicationFiled: May 18, 2015Publication date: September 10, 2015Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
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Patent number: 9037113Abstract: 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.Type: GrantFiled: June 29, 2011Date of Patent: May 19, 2015Assignee: Georgia Tech Research CorporationInventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla
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Publication number: 20130109358Abstract: 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.Type: ApplicationFiled: June 29, 2011Publication date: May 2, 2013Inventors: Vijay Balasubramaniyan, Mustaque Ahamad, Patrick Gerard Traynor, Michael Thomas Hunter, Aamir Poonawalla