Patents by Inventor Nisha RAMACHANDRA
Nisha RAMACHANDRA 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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Patent number: 11860925Abstract: In some examples, human centered computing based digital persona generation may include generating, for a digital persona that is to be generated for a target person, synthetic video files and synthetic audio files that are combined to generate synthetic media files. The digital persona may be generated based on a synthetic media file. An inquiry may be received from a user of the generated digital persona. Another synthetic media file may be used by the digital persona to respond to the inquiry. A real-time emotion of the user may be analyzed based on a text sentiment associated with the inquiry, and a voice sentiment and a facial expression associated with the user. Based on the real-time emotion of the user, a further synthetic media file may be utilized by the digital persona to continue or modify a conversation between the generated digital persona and the user.Type: GrantFiled: April 5, 2021Date of Patent: January 2, 2024Assignee: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Nisha Ramachandra, Manish Ahuja, Raghotham M Rao, Neville Dubash, Sanjay Podder, Rekha M. Menon
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Patent number: 11366845Abstract: A device may identify a first concept hierarchy of a first multimedia presentation and a second concept hierarchy of a second multimedia presentation. The device may determine a set of concepts associated with the first concept hierarchy and the second concept hierarchy and may determine a plurality of similarity scores associated with the set of concepts. The device may generate a new concept hierarchy based on the plurality of similarity scores, the first concept hierarchy, and the second concept hierarchy by: performing a first process to merge a concept with an additional concept; performing a second process to position a concept sequentially before or after an additional concept; performing a third process to position a concept and a different concept to sequentially follow an additional concept; and performing a fourth process to position a concept to sequentially follow an additional concept and a different concept.Type: GrantFiled: May 20, 2019Date of Patent: June 21, 2022Assignee: Accenture Global Solutions LimitedInventors: Sanjay Podder, Bruno Marra, Neville Dubash, Venkatesh Subramanian, Nisha Ramachandra, Padmaraj Bhat, Karthik Acharyulu, Subramanian Palanisami, Kaushik Turlapaty
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Publication number: 20210326372Abstract: In some examples, human centered computing based digital persona generation may include generating, for a digital persona that is to be generated for a target person, synthetic video files and synthetic audio files that are combined to generate synthetic media files. The digital persona may be generated based on a synthetic media file. An inquiry may be received from a user of the generated digital persona. Another synthetic media file may be used by the digital persona to respond to the inquiry. A real-time emotion of the user may be analyzed based on a text sentiment associated with the inquiry, and a voice sentiment and a facial expression associated with the user. Based on the real-time emotion of the user, a further synthetic media file may be utilized by the digital persona to continue or modify a conversation between the generated digital persona and the user.Type: ApplicationFiled: April 5, 2021Publication date: October 21, 2021Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITEDInventors: Nisha RAMACHANDRA, Manish Ahuja, Raghotham M Rao, Neville Dubash, Sanjay Podder, Rekha M. Menon
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Publication number: 20210166080Abstract: In some implementations, a device may receive a machine learning model to be tested. The device may process the machine learning model, with generalization testing methods, to determine generalization which identifies responsiveness of the machine learning model to varying inputs. The device may process the machine learning model, with robustness testing methods, to determine robustness which identifies responsiveness of the machine learning model to improper inputs. The device may process the machine learning model, with an interpretability testing method, to determine decisions of the machine learning model. The device may calculate a score for the machine learning model based on the generalization data, the robustness data, and the interpretability data. The device may perform one or more actions based on the score for the machine learning model.Type: ApplicationFiled: December 1, 2020Publication date: June 3, 2021Inventors: Sanjay PODDER, Neville DUBASH, Nisha RAMACHANDRA, Raghotham M. RAO, Manish AHUJA, Samarth SIKAND
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Publication number: 20200372060Abstract: A device may identify a first concept hierarchy of a first multimedia presentation and a second concept hierarchy of a second multimedia presentation. The device may determine a set of concepts associated with the first concept hierarchy and the second concept hierarchy and may determine a plurality of similarity scores associated with the set of concepts. The device may generate a new concept hierarchy based on the plurality of similarity scores, the first concept hierarchy, and the second concept hierarchy by: performing a first process to merge a concept with an additional concept; performing a second process to position a concept sequentially before or after an additional concept; performing a third process to position a concept and a different concept to sequentially follow an additional concept; and performing a fourth process to position a concept to sequentially follow an additional concept and a different concept.Type: ApplicationFiled: May 20, 2019Publication date: November 26, 2020Inventors: Sanjay PODDER, Bruno MARRA, Neville DUBASH, Venkatesh SUBRAMANIAN, Nisha RAMACHANDRA, Padmaraj BHAT, Karthik ACHARYULU, Subramanian PALANISAMI, Kaushik TURLAPATY
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Patent number: 10534861Abstract: A device may obtain a document. The device may identify a skip value for the document. The skip value may relate to a quantity of words or a quantity of characters that are to be skipped in an n-gram. The device may determine one or more skip n-grams using the skip value for the document. A skip n-gram, of the one or more skip n-grams, may include a sequence of one or more words or one or more characters with a set of occurrences in the document. The sequence of one or more words or one or more characters may include a skip value quantity of words or characters within the sequence. The device may extract one or more terms from the document based on the one or more skip n-grams. The device may provide information identifying the one or more terms.Type: GrantFiled: December 7, 2018Date of Patent: January 14, 2020Assignee: Accenture Global Services LimitedInventors: Anurag Dwarakanath, Aditya Priyadarshi, Bhanu Anand, Bindu Madhav Tummalapalli, Bargav Jayaraman, Nisha Ramachandra, Anitha Chandran, Parvathy Vijay Raghavan, Shalini Chaudhari, Neville Dubash, Sanjay Podder
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Publication number: 20190108218Abstract: A device may obtain a document. The device may identify a skip value for the document. The skip value may relate to a quantity of words or a quantity of characters that are to be skipped in an n-gram. The device may determine one or more skip n-grams using the skip value for the document. A skip n-gram, of the one or more skip n-grams, may include a sequence of one or more words or one or more characters with a set of occurrences in the document. The sequence of one or more words or one or more characters may include a skip value quantity of words or characters within the sequence. The device may extract one or more terms from the document based on the one or more skip n-grams. The device may provide information identifying the one or more terms.Type: ApplicationFiled: December 7, 2018Publication date: April 11, 2019Inventors: Anurag DWARAKANATH, Aditya PRIYADARSHI, Bhanu ANAND, Bindu Madhav TUMMALAPALLI, Bargav JAYARAMAN, Nisha RAMACHANDRA, Anitha CHANDRAN, Parvathy Vijay RAGHAVAN, Shalini CHAUDHARI, Neville DUBASH, Sanjay PODDER
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Patent number: 10198430Abstract: A device may obtain a test script document. The device may process the test script document to perform term extraction using one or more term extraction techniques to identify a set of terms of the test script document. The one or more term extraction techniques may include a skip n-gram term extraction technique. One or more terms, of the set of terms, may be located within an n-gram of the test script document. The device may process the test script document to perform hierarchy formation for results of performing term extraction. A relationship between a set of terms, of the set of terms, may be identified using hierarchy formation. The device may generate a functional diagram of the test script document based on the results of performing term extraction and results of performing hierarchy formation. The device may provide information identifying the functional diagram.Type: GrantFiled: August 25, 2016Date of Patent: February 5, 2019Assignee: Accenture Global Services LimitedInventors: Anurag Dwarakanath, Aditya Priyadarshi, Bhanu Anand, Bindu Madhav Tummalapalli, Bargav Jayaraman, Nisha Ramachandra, Anitha Chandran, Parvathy Vijay Raghavan, Shalini Chaudhari, Neville Dubash, Sanjay Podder
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Patent number: 10152474Abstract: A device may obtain a document. The device may identify a skip value for the document. The skip value may relate to a quantity of words or a quantity of characters that are to be skipped in an n-gram. The device may determine one or more skip n-grams using the skip value for the document. A skip n-gram, of the one or more skip n-grams, may include a sequence of one or more words or one or more characters with a set of occurrences in the document. The sequence of one or more words or one or more characters may include a skip value quantity of words or characters within the sequence. The device may extract one or more terms from the document based on the one or more skip n-grams. The device may provide information identifying the one or more terms.Type: GrantFiled: August 25, 2016Date of Patent: December 11, 2018Assignee: Accenture Global Services LimitedInventors: Anurag Dwarakanath, Aditya Priyadarshi, Bhanu Anand, Bindu Madhav Tummalapalli, Bargav Jayaraman, Nisha Ramachandra, Anitha Chandran, Parvathy Vijay Raghavan, Shalini Chaudhari, Neville Dubash, Sanjay Podder
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Publication number: 20170060840Abstract: A device may obtain a test script document. The device may process the test script document to perform term extraction using one or more term extraction techniques to identify a set of terms of the test script document. The one or more term extraction techniques may include a skip n-gram term extraction technique. One or more terms, of the set of terms, may be located within an n-gram of the test script document. The device may process the test script document to perform hierarchy formation for results of performing term extraction. A relationship between a set of terms, of the set of terms, may be identified using hierarchy formation. The device may generate a functional diagram of the test script document based on the results of performing term extraction and results of performing hierarchy formation. The device may provide information identifying the functional diagram.Type: ApplicationFiled: August 25, 2016Publication date: March 2, 2017Inventors: Anurag DWARAKANATH, Aditya PRIYADARSHI, Bhanu ANAND, Bindu Madhav TUMMALAPALLI, Bargav JAYARAMAN, Nisha RAMACHANDRA, Anitha CHANDRAN, Parvathy Vijay RAGHAVAN, Shalini CHAUDHARI, Neville DUBASH, Sanjay PODDER
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Publication number: 20170060842Abstract: A device may obtain a document. The device may identify a skip value for the document. The skip value may relate to a quantity of words or a quantity of characters that are to be skipped in an n-gram. The device may determine one or more skip n-grams using the skip value for the document. A skip n-gram, of the one or more skip n-grams, may include a sequence of one or more words or one or more characters with a set of occurrences in the document. The sequence of one or more words or one or more characters may include a skip value quantity of words or characters within the sequence. The device may extract one or more terms from the document based on the one or more skip n-grams. The device may provide information identifying the one or more terms.Type: ApplicationFiled: August 25, 2016Publication date: March 2, 2017Inventors: Anurag DWARAKANATH, Aditya Priyadarshi, Bhanu Anand, Bindu Madhav Tummalapalli, Bargav Jayaraman, Nisha Ramachandra, Anitha Chandran, Parvathy Vijay Raghavan, Shalini Chaudhari, Neville Dubash, Sanjay Podder