Patents by Inventor Jason William Pelecanos
Jason William Pelecanos 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: 20230015169Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.Type: ApplicationFiled: September 19, 2022Publication date: January 19, 2023Applicant: Google LLCInventors: Yeming Fang, Quan Wang, Pedro Jose Moreno Mengibar, Ignacio Lopez Moreno, Gang Feng, Fang Chu, Jin Shi, Jason William Pelecanos
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Patent number: 11468900Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.Type: GrantFiled: October 15, 2020Date of Patent: October 11, 2022Assignee: Google LLCInventors: Yeming Fang, Quan Wang, Pedro Jose Moreno Mengibar, Ignacio Lopez Moreno, Gang Feng, Fang Chu, Jin Shi, Jason William Pelecanos
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Publication number: 20220122612Abstract: A method of generating an accurate speaker representation for an audio sample includes receiving a first audio sample from a first speaker and a second audio sample from a second speaker. The method includes dividing a respective audio sample into a plurality of audio slices. The method also includes, based on the plurality of slices, generating a set of candidate acoustic embeddings where each candidate acoustic embedding includes a vector representation of acoustic features. The method further includes removing a subset of the candidate acoustic embeddings from the set of candidate acoustic embeddings. The method additionally includes generating an aggregate acoustic embedding from the remaining candidate acoustic embeddings in the set of candidate acoustic embeddings after removing the subset of the candidate acoustic embeddings.Type: ApplicationFiled: October 15, 2020Publication date: April 21, 2022Applicant: Google LLCInventors: Yeming Fang, Quan Wang, Pedro Jose Moreno Mengibar, Ignacio Lopez Moreno, Gang Feng, Fang Chu, Jin Shi, Jason William Pelecanos
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Patent number: 10509895Abstract: A method comprising using at least one hardware processor for: providing a set of development supervectors representing features of biometric samples of multiple subjects, the biometric samples being of at least a first and a second different biometric modalities; providing at least a first and a second enrollment supervectors representing features of at least a first and a second enrollment biometric samples of a target subject correspondingly, wherein the at least first and second enrollment samples are of the at least first and the second different biometric modalities correspondingly; providing at least a first and a second verification supervectors representing features of at least a first and a second verification biometric samples of the target subject correspondingly, wherein the at least first and second verification samples are of the at least first and second different biometric modalities correspondingly; concatenating the development supervectors to a set of development generic supervector, the aType: GrantFiled: March 9, 2016Date of Patent: December 17, 2019Assignee: International Business Machines CorporationInventors: Hagai Aronowitz, Amir Geva, Ron Hoory, David Nahamoo, Jason William Pelecanos, Orith Toledo-Ronen
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Patent number: 9405893Abstract: A method comprising using at least one hardware processor for: providing a set of development supervectors representing features of biometric samples of multiple subjects, the biometric samples being of at least a first and a second different biometric modalities; providing at least a first and a second enrollment supervectors representing features of at least a first and a second enrollment biometric samples of a target subject correspondingly, wherein the at least first and second enrollment samples are of the at least first and the second different biometric modalities correspondingly; providing at least a first and a second verification supervectors representing features of at least a first and a second verification biometric samples of the target subject correspondingly, wherein the at least first and second verification samples are of the at least first and second different biometric modalities correspondingly; concatenating the development supervectors to a set of development generic supervector, the aType: GrantFiled: February 5, 2014Date of Patent: August 2, 2016Assignee: International Business Machines CorporationInventors: Hagai Aronowitz, Amir Geva, Ron Hoory, David Nahamoo, Jason William Pelecanos, Orith Toledo-Ronen
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Publication number: 20160188863Abstract: A method comprising using at least one hardware processor for: providing a set of development supervectors representing features of biometric samples of multiple subjects, the biometric samples being of at least a first and a second different biometric modalities; providing at least a first and a second enrollment supervectors representing features of at least a first and a second enrollment biometric samples of a target subject correspondingly; wherein the at least first and second enrollment samples are of the at least first and the second different biometric modalities correspondingly; providing at least a first and a second verification supervectors representing features of at least a first and a second verification biometric samples of the target subject correspondingly, wherein the at least first and second verification samples are of the at least first and second different biometric modalities correspondingly; concatenating the development supervectors to a set of development generic supervector, the aType: ApplicationFiled: March 9, 2016Publication date: June 30, 2016Inventors: HAGAI ARONOWITZ, AMIR GEVA, RON HOORY, DAVID NAHAMOO, JASON WILLIAM PELECANOS, ORITH TOLEDO-RONEN
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Publication number: 20150220716Abstract: A method comprising using at least one hardware processor for: providing a set of development supervectors representing features of biometric samples of multiple subjects, the biometric samples being of at least a first and a second different biometric modalities; providing at least a first and a second enrollment supervectors representing features of at least a first and a second enrollment biometric samples of a target subject correspondingly, wherein the at least first and second enrollment samples are of the at least first and the second different biometric modalities correspondingly; providing at least a first and a second verification supervectors representing features of at least a first and a second verification biometric samples of the target subject correspondingly, wherein the at least first and second verification samples are of the at least first and second different biometric modalities correspondingly; concatenating the development supervectors to a set of development generic supervector, the aType: ApplicationFiled: February 5, 2014Publication date: August 6, 2015Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATIONInventors: Hagai ARONOWITZ, Amir GEVA, Ron HOORY, David NAHAMOO, Jason William PELECANOS, Orith TOLEDO-RONEN
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Patent number: 7647827Abstract: A method, system and program storage device are provided for machine diagnostics, detection and profiling using pressure waves, the method including profiling known sources, acquiring pressure wave data, analyzing the acquired pressure wave data, and detecting if the analyzed pressure wave data matches a profiled known source; the system including a processor, a pressure wave transducer in signal communication with the processor, a pressure wave analysis unit in signal communication with the processor, and a source or threat detection unit in signal communication with the processor; and the program storage device including program steps for profiling known sources, acquiring pressure wave data, analyzing the acquired pressure wave data, and detecting if the analyzed pressure wave data matches a profiled known source.Type: GrantFiled: May 28, 2008Date of Patent: January 19, 2010Assignee: International Business Machines CorporationInventors: Jason William Pelecanos, Douglas George Heintzman, Jiri Navratil, Ganesh N. Ramaswamy
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Publication number: 20080257047Abstract: A method, system and program storage device are provided for machine diagnostics, detection and profiling using pressure waves, the method including profiling known sources, acquiring pressure wave data, analyzing the acquired pressure wave data, and detecting if the analyzed pressure wave data matches a profiled known source; the system including a processor, a pressure wave transducer in signal communication with the processor, a pressure wave analysis unit in signal communication with the processor, and a source or threat detection unit in signal communication with the processor; and the program storage device including program steps for profiling known sources, acquiring pressure wave data, analyzing the acquired pressure wave data, and detecting if the analyzed pressure wave data matches a profiled known source.Type: ApplicationFiled: May 28, 2008Publication date: October 23, 2008Inventors: Jason William Pelecanos, Douglas George Heintzman, Jiri Navratil, Ganesh N. Ramaswamy