Patents by Inventor Mithun Umesh
Mithun Umesh 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: 11972782Abstract: Systems and methods for generating individualized content trailers. Content such as a video is divided into segments each representing a set of common features. With reference to a set of stored user preferences, certain segments are selected as aligning with the user's interests. Each selected segment may then be assigned a label corresponding to the plot portion or element to which it belongs. A coherent trailer may then be assembled from the selected segments, ordered according to their plot elements. This allows a user to see not only segments containing subject matter that aligns with their interests, but also a set of such segments arranged to give the user an idea of the plot, and a sense of drama, increasing the likelihood of engagement with the content.Type: GrantFiled: February 2, 2022Date of Patent: April 30, 2024Assignee: Rovi Guides, Inc.Inventors: Jeffry Copps Robert Jose, Mithun Umesh, Sindhuja Chonat Sri
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Publication number: 20230290338Abstract: Systems and methods for determining to perform an action of a query using a trained natural language model of a natural language understanding (NLU) system are disclosed herein. A text string corresponding to a prescribed action includes at least a content entity is received. A determination is made as to whether the text string corresponds to an audio input of a first group. In response to determining the text string corresponds to an audio input of a first group, a determination is made as to whether the text string includes an obsequious expression. In response to determining the text string corresponds to an audio input of a first group and in response to determining the text string includes an obsequious expression, a determination is made to perform the prescribed action.Type: ApplicationFiled: February 24, 2023Publication date: September 14, 2023Inventors: Jeffry Copps Robert Jose, Mithun Umesh
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Patent number: 11626103Abstract: Systems and methods for determining to perform an action of a query using a trained natural language model of a natural language understanding (NLU) system are disclosed herein. A text string corresponding to a prescribed action includes at least a content entity is received. A determination is made as to whether the text string corresponds to an audio input of a first group. In response to determining the text string corresponds to an audio input of a first group, a determination is made as to whether the text string includes an obsequious expression. In response to determining the text string corresponds to an audio input of a first group and in response to determining the text string includes an obsequious expression, a determination is made to perform the prescribed action.Type: GrantFiled: February 28, 2020Date of Patent: April 11, 2023Assignee: Rovi Guides, Inc.Inventors: Jeffry Copps Robert Jose, Mithun Umesh
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Patent number: 11595278Abstract: Systems and methods are provided for automatically responding to network connectivity issues in a media stream. One example method includes transmitting, from a first computing device, a media stream to one or more secondary computing devices. A network connectivity issue between the first computing device and one or more of the secondary computing devices is detected. If a network connectivity issue is detected, a notification is transmitted to one or more of the secondary computing devices.Type: GrantFiled: December 16, 2020Date of Patent: February 28, 2023Assignee: ROVI GUIDES, INC.Inventors: Sindhuja C S, Jeffry Copps Robert Jose, Mithun Umesh
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Patent number: 11574127Abstract: Systems and methods for training a classifier binary model of a natural language understanding (NLU) system are disclosed herein. A determination is made as to whether a text string, with a content entity, includes an obsequious expression. In response to determining the text string includes an obsequious expression, a determination is made as to whether the obsequious expression describes the content entity. The model is trained based on a determination of at least one of: an absence of an obsequious expression in response to determining the obsequious expression describes the content entity; a presence of an obsequious expression in response to determining the obsequious expression describes the content entity; an absence of an obsequious expression in response to determining the obsequious expression does not describe the content entity, and a presence of an obsequious expression in response to determining the obsequious expression does not describe the content entity.Type: GrantFiled: February 28, 2020Date of Patent: February 7, 2023Assignee: Rovi Guides, Inc.Inventors: Jeffry Copps Robert Jose, Mithun Umesh
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Patent number: 11494434Abstract: The system receives a voice query at an audio interface and converts the voice query to text. The system can determine pronunciation information during conversion and generate metadata the indicates a pronunciation of one or more words of the query, include phonetic information in the text query, or both. A query includes one or more entities, which may be more accurately identified based on pronunciation. The system searches for information, content, or both among one or more databases based on the generated text query, pronunciation information, user profile information, search histories or trends, and optionally other information. The system identifies one or more entities or content items that match the text query, and retrieves the identified information to provide to the user.Type: GrantFiled: July 31, 2019Date of Patent: November 8, 2022Assignee: ROVI GUIDES, INC.Inventors: Ankur Aher, Indranil Coomar Doss, Aashish Goyal, Aman Puniyani, Kandala Reddy, Mithun Umesh
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Patent number: 11410656Abstract: The system identifies one or more entities or content items among a plurality of stored information. The system generates an audio file based on a first text string that represents the entity or content item. Based on the first text string and at least one speech criterion, the system generating, using a speech-to-text module a second text string based on the audio file. The system then compares the text strings and stores the second text string if it is not identical to the first text string. The system generates metadata that includes results from text-speech-text conversions to forecast possible misidentifications when responding to voice queries during search operations. The metadata includes alternative representations of the entity.Type: GrantFiled: July 31, 2019Date of Patent: August 9, 2022Assignee: ROVI GUIDES, INC.Inventors: Ankur Aher, Indranil Coomar Doss, Aashish Goyal, Aman Puniyani, Kandala Reddy, Mithun Umesh
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Patent number: 11392771Abstract: Systems and methods for training a natural language model of a natural language understanding (NLU) system are disclosed herein. A text string including at least a content entity is received. A determination is made as to whether the text string includes an obsequious expression. In response to determining the text string includes an obsequious expression, a determination is made as to whether the obsequious expression describes the content entity. A query is forwarded in response to determining the text string includes an obsequious expression and in determining the obsequious expression describes the content entity. In response to determining the obsequious expression describes the content entity, the query includes the obsequious expression and in response to determining the obsequious expression does not describe the content entity, the query does not include the obsequious expression.Type: GrantFiled: February 28, 2020Date of Patent: July 19, 2022Assignee: Rovi Guides, Inc.Inventors: Jeffry Copps Robert Jose, Mithun Umesh
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Patent number: 11393455Abstract: Systems and methods for generating a query using a trained natural language model of a natural language understanding (NLU) system are disclosed herein. A text string including at least a content entity is received. A determination is made as to whether the text string includes an obsequious expression. In response to determining the text string includes an obsequious expression, a determination is made as to whether the obsequious expression describes the content entity. In response to determining whether the obsequious expression describes the content entity, the query is generated. In response to determining the obsequious expression describes the content entity, the content entity and the obsequious expression are included in the query and in response to determining the obsequious expression does not describe the content entity, the content entity is included in the query and the obsequious expression is excluded from the query.Type: GrantFiled: February 28, 2020Date of Patent: July 19, 2022Assignee: ROVI GUIDES, INC.Inventors: Jeffry Copps Robert Jose, Mithun Umesh
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Publication number: 20220191115Abstract: Systems and methods are provided for automatically responding to network connectivity issues in a media stream. One example method includes transmitting, from a first computing device, a media stream to one or more secondary computing devices. A network connectivity issue between the first computing device and one or more of the secondary computing devices is detected. If a network connectivity issue is detected, a notification is transmitted to one or more of the secondary computing devices.Type: ApplicationFiled: December 16, 2020Publication date: June 16, 2022Inventors: Sindhuja C S, Jeffry Copps Robert Jose, Mithun Umesh
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Publication number: 20220157348Abstract: Systems and methods for generating individualized content trailers. Content such as a video is divided into segments each representing a set of common features. With reference to a set of stored user preferences, certain segments are selected as aligning with the user's interests. Each selected segment may then be assigned a label corresponding to the plot portion or element to which it belongs. A coherent trailer may then be assembled from the selected segments, ordered according to their plot elements. This allows a user to see not only segments containing subject matter that aligns with their interests, but also a set of such segments arranged to give the user an idea of the plot, and a sense of drama, increasing the likelihood of engagement with the content.Type: ApplicationFiled: February 2, 2022Publication date: May 19, 2022Inventors: Jeffry Copps Robert Jose, Mithun Umesh, Sindhuja Chonat Sri
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Publication number: 20220148600Abstract: Methods and systems are disclosed herein for training a network to detect mimicked voice input, so that it can be determined whether a voice input signal is a mimicked voice signal. First voice data is received. The first voice data comprises at least a voice signal of a first individual and another voice signal. The voice signal of the first individual and at least one other voice signal is combined to create a composite voice signal. Second voice data is received. The second voice data comprises at least a voice signal of the first individual. The network is trained using at least the composite voice signal and the second voice data to determine whether a voice input signal is a mimicked voice input signal.Type: ApplicationFiled: November 11, 2020Publication date: May 12, 2022Inventors: Jeffry Copps Robert Jose, Sindhuja Chonat Sri, Mithun Umesh
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Patent number: 11290684Abstract: Systems and methods are provided for automatically arranging the display of a plurality of videos on a display of a computing device. One example method includes receiving, at the computing device, a plurality of video streams. An order in which to display the video streams is determined, based on the video of the video streams. The plurality of video streams is displayed on a display of the computing device based on the determined order.Type: GrantFiled: December 16, 2020Date of Patent: March 29, 2022Assignee: ROVI GUIDES, INC.Inventors: Sindhuja C S, Jeffry Copps Robert Jose, Mithun Umesh
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Patent number: 11276434Abstract: Systems and methods for generating individualized content trailers. Content such as a video is divided into segments each representing a set of common features. With reference to a set of stored user preferences, certain segments are selected as aligning with the user's interests. Each selected segment may then be assigned a label corresponding to the plot portion or element to which it belongs. A coherent trailer may then be assembled from the selected segments, ordered according to their plot elements. This allows a user to see not only segments containing subject matter that aligns with their interests, but also a set of such segments arranged to give the user an idea of the plot, and a sense of drama, increasing the likelihood of engagement with the content.Type: GrantFiled: November 17, 2020Date of Patent: March 15, 2022Assignee: ROVI GUIDES, INC.Inventors: Jeffry Copps Robert Jose, Mithun Umesh, Sindhuja Chonat Sri
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Publication number: 20210271816Abstract: Systems and methods for training a natural language model of a natural language understanding (NLU) system are disclosed herein. A text string including at least a content entity is received. A determination is made as to whether the text string includes an obsequious expression. In response to determining the text string includes an obsequious expression, a determination is made as to whether the obsequious expression describes the content entity. A query is forwarded in response to determining the text string includes an obsequious expression and in determining the obsequious expression describes the content entity. In response to determining the obsequious expression describes the content entity, the query includes the obsequious expression and in response to determining the obsequious expression does not describe the content entity, the query does not include the obsequious expression.Type: ApplicationFiled: February 28, 2020Publication date: September 2, 2021Inventors: Jeffry Copps Robert Jose, Mithun Umesh
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Publication number: 20210272554Abstract: Systems and methods for determining to perform an action of a query using a trained natural language model of a natural language understanding (NLU) system are disclosed herein. A text string corresponding to a prescribed action includes at least a content entity is received. A determination is made as to whether the text string corresponds to an audio input of a first group. In response to determining the text string corresponds to an audio input of a first group, a determination is made as to whether the text string includes an obsequious expression. In response to determining the text string corresponds to an audio input of a first group and in response to determining the text string includes an obsequious expression, a determination is made to perform the prescribed action.Type: ApplicationFiled: February 28, 2020Publication date: September 2, 2021Inventors: Jeffry Copps Robert Jose, Mithun Umesh
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Publication number: 20210272553Abstract: Systems and methods for generating a query using a trained natural language model of a natural language understanding (NLU) system are disclosed herein. A text string including at least a content entity is received. A determination is made as to whether the text string includes an obsequious expression. In response to determining the text string includes an obsequious expression, a determination is made as to whether the obsequious expression describes the content entity. In response to determining whether the obsequious expression describes the content entity, the query is generated. In response to determining the obsequious expression describes the content entity, the content entity and the obsequious expression are included in the query and in response to determining the obsequious expression does not describe the content entity, the content entity is included in the query and the obsequious expression is excluded from the query.Type: ApplicationFiled: February 28, 2020Publication date: September 2, 2021Inventors: Jeffry Copps Robert Jose, Mithun Umesh
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Publication number: 20210271819Abstract: Systems and methods for training a classifier binary model of a natural language understanding (NLU) system are disclosed herein. A determination is made as to whether a text string, with a content entity, includes an obsequious expression. In response to determining the text string includes an obsequious expression, a determination is made as to whether the obsequious expression describes the content entity. The model is trained based on a determination of at least one of: an absence of an obsequious expression in response to determining the obsequious expression describes the content entity; a presence of an obsequious expression in response to determining the obsequious expression describes the content entity; an absence of an obsequious expression in response to determining the obsequious expression does not describe the content entity, and a presence of an obsequious expression in response to determining the obsequious expression does not describe the content entity.Type: ApplicationFiled: February 28, 2020Publication date: September 2, 2021Inventors: Jeffry Copps Robert Jose, Mithun Umesh
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Publication number: 20210035587Abstract: The system identifies one or more entities or content items among a plurality of stored information. The system generates an audio file based on a first text string that represents the entity or content item. Based on the first text string and at least one speech criterion, the system generating, using a speech-to-text module a second text string based on the audio file. The system then compares the text strings and stores the second text string if it is not identical to the first text string. The system generates metadata that includes results from text-speech-text conversions to forecast possible misidentifications when responding to voice queries during search operations.Type: ApplicationFiled: July 31, 2019Publication date: February 4, 2021Inventors: Ankur Aher, Indranil Coomar Doss, Aashish Goyal, Aman Puniyani, Kandala Reddy, Mithun Umesh
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Publication number: 20210034663Abstract: The system receives a voice query at an audio interface and converts the voice query to text. The system can determine pronunciation information during conversion and generate metadata the indicates a pronunciation of one or more words of the query, include phonetic information in the text query, or both. A query includes one or more entities, which may be more accurately identified based on pronunciation. The system searches for information, content, or both among one or more databases based on the generated text query, pronunciation information, user profile information, search histories or trends, and optionally other information. The system identifies one or more entities or content items that match the text query, and retrieves the identified information to provide to the user.Type: ApplicationFiled: July 31, 2019Publication date: February 4, 2021Inventors: Ankur Aher, Indranil Coomar Doss, Aashish Goyal, Aman Puniyani, Kandala Reddy, Mithun Umesh