Patents by Inventor Karthik Raghunathan
Karthik Raghunathan 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: 20240087573Abstract: This disclosure describes techniques for generating a conversation summary. The techniques may include processing at least one statement indication of the conversation to determine at least one statement that is a candidate highlight of the conversation. The techniques may further include applying linguistic filtering rules to the candidate highlight to determine the candidate highlight is an actual highlight. The techniques may further include generating the conversation summary including providing the actual highlight as at least a portion of the conversation summary.Type: ApplicationFiled: November 14, 2023Publication date: March 14, 2024Inventors: Varsha Ravikumar Embar, Karthik Raghunathan
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Patent number: 11908477Abstract: This disclosure describes techniques for generating a conversation summary. The techniques may include processing at least one statement indication of the conversation to determine at least one statement that is a candidate highlight of the conversation. The techniques may further include applying linguistic filtering rules to the candidate highlight to determine the candidate highlight is an actual highlight. The techniques may further include generating the conversation summary including providing the actual highlight as at least a portion of the conversation summary.Type: GrantFiled: August 28, 2020Date of Patent: February 20, 2024Inventors: Varsha Ravikumar Embar, Karthik Raghunathan
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Publication number: 20230019978Abstract: Systems, methods, and computer-readable media for correcting transcriptions created through automatic speech recognition. A transcription of speech created using an automatic speech recognition system can be received. One or more domain-specific contexts associated with the speech can be identified and a text span that includes a mistranscribed entry can be recognized from the speech based on the one or more domain-specific contexts. Additionally, features can be extracted from the mistranscribed entry and the extracted features can be matched against an index of domain-specific entries to identify a correct entry of the mistranscribed entry. Subsequently, the transcription can be corrected by replacing with the mistranscribed entry with the correct entry.Type: ApplicationFiled: September 22, 2022Publication date: January 19, 2023Inventors: Karthik Raghunathan, Arushi Raghuvanshi, Vijay Ramakrishnan Thimmaiyah, Lucien Serapio Carroll, Varsha Ravikumar Embar
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Patent number: 11482213Abstract: Systems, methods, and computer-readable media for correcting transcriptions created through automatic speech recognition. A transcription of speech created using an automatic speech recognition system can be received. One or more domain-specific contexts associated with the speech can be identified and a text span that includes a mistranscribed entry can be recognized from the speech based on the one or more domain-specific contexts. Additionally, features can be extracted from the mistranscribed entry and the extracted features can be matched against an index of domain-specific entries to identify a correct entry of the mistranscribed entry. Subsequently, the transcription can be corrected by replacing with the mistranscribed entry with the correct entry.Type: GrantFiled: January 29, 2019Date of Patent: October 25, 2022Assignee: CISCO TECHNOLOGY, INC.Inventors: Karthik Raghunathan, Arushi Raghuvanshi, Vijay Ramakrishnan Thimmaiyah, Lucien Serapio Carroll, Varsha Ravikumar Embar
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Publication number: 20220068279Abstract: This disclosure describes techniques for generating a conversation summary. The techniques may include processing at least one statement indication of the conversation to determine at least one statement that is a candidate highlight of the conversation. The techniques may further include applying linguistic filtering rules to the candidate highlight to determine the candidate highlight is an actual highlight. The techniques may further include generating the conversation summary including providing the actual highlight as at least a portion of the conversation summary.Type: ApplicationFiled: August 28, 2020Publication date: March 3, 2022Inventors: Varsha Ravikumar Embar, Karthik Raghunathan
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Publication number: 20200027445Abstract: Systems, methods, and computer-readable media for correcting transcriptions created through automatic speech recognition. A transcription of speech created using an automatic speech recognition system can be received. One or more domain-specific contexts associated with the speech can be identified and a text span that includes a mistranscribed entry can be recognized from the speech based on the one or more domain-specific contexts. Additionally, features can be extracted from the mistranscribed entry and the extracted features can be matched against an index of domain-specific entries to identify a correct entry of the mistranscribed entry. Subsequently, the transcription can be corrected by replacing with the mistranscribed entry with the correct entry.Type: ApplicationFiled: January 29, 2019Publication date: January 23, 2020Inventors: Karthik Raghunathan, Arushi Raghuvanshi, Vijay Ramakrishnan Thimmaiyah, Lucien Serapio Carroll, Varsha Ravikumar Embar
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Patent number: 10176219Abstract: Methods and systems are provided for providing alternative query suggestions. For example, a spoken natural language expression may be received and converted to a textual query by a speech recognition component. The spoken natural language expression may include one or more words, terms, and/or phrases. A phonetically confusable segment of the textual query may be identified by a classifier component. The classifier component may determine at least one alternative query based on identifying at least the phonetically confusable segment of the textual query. The classifier may further determine whether to suggest the at least one alternative query based on whether the at least one alternative query is sensical and/or useful. When it is determined to suggest the at least one alternative query, the at least one alternative query may be provided to and displayed on a user interface display.Type: GrantFiled: March 13, 2015Date of Patent: January 8, 2019Assignee: Microsoft Technology Licensing, LLCInventors: Benoit Dumoulin, Ali Ahmadi, Sarangarajan Parthasarathy, Nick Craswell, Umut Ozertem, Milad Shokouhi, Karthik Raghunathan, Rosie Jones
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Patent number: 9460081Abstract: Examples of the present disclosure describe generation of a multi-arc confusion network to improve, for example, an ability to return alternatives to output generated. A confusion network comprising token representations of lexicalized hypotheses and normalized hypotheses is generated. Each arc of the confusion network represents a token of a lexicalized hypothesis or a normalized hypothesis. The confusion network is transformed into a multi-arc confusion network, wherein the transforming comprising realigning at least one token of the confusion network to span multiple arcs of the confusion network. Other examples are also described.Type: GrantFiled: June 2, 2016Date of Patent: October 4, 2016Assignee: Microsoft Technology Licensing, LLCInventors: Michael Levit, Umut Ozertem, Sarangarajan Parthasarathy, Padma Varadharajan, Karthik Raghunathan, Issac Alphonso
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Publication number: 20160275071Abstract: Examples of the present disclosure describe generation of a multi-arc confusion network to improve, for example, an ability to return alternatives to output generated. A confusion network comprising token representations of lexicalized hypotheses and normalized hypotheses is generated. Each arc of the confusion network represents a token of a lexicalized hypothesis or a normalized hypothesis. The confusion network is transformed into a multi-arc confusion network, wherein the transforming comprising realigning at least one token of the confusion network to span multiple arcs of the confusion network. Other examples are also described.Type: ApplicationFiled: June 2, 2016Publication date: September 22, 2016Applicant: Microsoft Technology Licensing, LLCInventors: Michael Levit, Umut Ozertem, Sarangarajan Parthasarathy, Padma Varadharajan, Karthik Raghunathan, Issac Alphonso
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Publication number: 20160267128Abstract: Methods and systems are provided for providing alternative query suggestions. For example, a spoken natural language expression may be received and converted to a textual query by a speech recognition component. The spoken natural language expression may include one or more words, terms, and/or phrases. A phonetically confusable segment of the textual query may be identified by a classifier component. The classifier component may determine at least one alternative query based on identifying at least the phonetically confusable segment of the textual query. The classifier may further determine whether to suggest the at least one alternative query based on whether the at least one alternative query is sensical and/or useful. When it is determined to suggest the at least one alternative query, the at least one alternative query may be provided to and displayed on a user interface display.Type: ApplicationFiled: March 13, 2015Publication date: September 15, 2016Applicant: Microsoft Technology Licensing , LLCInventors: Benoit Dumoulin, Ali Ahmadi, Sarangarajan Parthasarathy, Nick Craswell, Umut Ozertem, Milad Shokouhi, Karthik Raghunathan, Rosie Jones
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Publication number: 20160217125Abstract: Examples of the present disclosure describe generation of a multi-arc confusion network to improve, for example, an ability to return alternatives to output generated. A confusion network comprising token representations of lexicalized hypotheses and normalized hypotheses is generated. Each arc of the confusion network represents a token of a lexicalized hypothesis or a normalized hypothesis. The confusion network is transformed into a multi-arc confusion network, wherein the transforming comprising realigning at least one token of the confusion network to span multiple arcs of the confusion network. Other examples are also described.Type: ApplicationFiled: January 27, 2015Publication date: July 28, 2016Applicant: Microsoft Technology Licensing, LLCInventors: Michael Levit, Umut Ozertem, Sarangarajan Parthasarathy, Padma Varadharajan, Karthik Raghunathan, Issac Alphonso
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Patent number: 9384188Abstract: Examples of the present disclosure describe generation of a multi-arc confusion network to improve, for example, an ability to return alternatives to output generated. A confusion network comprising token representations of lexicalized hypotheses and normalized hypotheses is generated. Each arc of the confusion network represents a token of a lexicalized hypothesis or a normalized hypothesis. The confusion network is transformed into a multi-arc confusion network, wherein the transforming comprising realigning at least one token of the confusion network to span multiple arcs of the confusion network. Other examples are also described.Type: GrantFiled: January 27, 2015Date of Patent: July 5, 2016Assignee: Microsoft Technology Licensing, LLCInventors: Michael Levit, Umut Ozertem, Sarangarajan Parthasarathy, Padma Varadharajan, Karthik Raghunathan, Issac Alphonso