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公开(公告)号：US12200322B2
公开(公告)日：2025-01-14
申请号：US18389764
申请日：2023-12-19
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Saurabh Tahiliani
IPC: H04N21/8549 , G10L15/02
Abstract: A video summary device may generate a textual summary of a transcription of a virtual event. The video summary device may generate a phonemic transcription of the textual summary and generate a text embedding based on the phonemic transcription. The video summary device may generate an audio embedding based on a target voice. The video summary device may generate an audio output of the phonemic transcription uttered by the target voice. The audio output may be generated based on the text embedding and the audio embedding. The video summary device may generate an image embedding based on video data of a target user. The image embedding may include information regarding images of facial movements of the target user. The video summary device may generate a video output of different facial movements of the target user uttering the phonemic transcription, based on the text embedding and the image embedding.
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公开(公告)号：US20240311983A1
公开(公告)日：2024-09-19
申请号：US18122159
申请日：2023-03-16
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Saurabh Tahiliani
IPC: G06T5/00 , G06T5/50 , G06V10/774 , G06V10/82 , G06V20/40
CPC classification number: G06T5/77 , G06T5/50 , G06T5/80 , G06V10/774 , G06V10/82 , G06V20/40 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084
Abstract: In an example, an image may be identified. Object detection may be performed on the image to identify a region including a distorted representation of an object. The region may be masked to generate a masked image including a masked region corresponding to the object. Using a machine learning model, the masked region may be replaced with an undistorted representation of the object to generate a modified image.
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公开(公告)号：US11750742B2
公开(公告)日：2023-09-05
申请号：US17930480
申请日：2022-09-08
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Saurabh Tahiliani
CPC classification number: H04M3/5183 , G10L15/1815 , G10L25/06 , G10L25/63 , H04M3/5175
Abstract: A device may receive audio data of a first call between a first user and a second user. The device may generate, based on the audio data, time series data associated with an audio signal of the first call and may process, using a first machine learning model, the time series data to generate first call insight information regarding one or more first insights associated with the first call. The device may process the audio data to generate image data associated with the audio signal and may process, using a second machine learning model, the image data to generate second call insight information regarding one or more second insights associated with the first call. The device may combine the first call insight information and the second call insight information to generate combined call insight information and cause an action to be performed based on the combined call insight information.
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公开(公告)号：US11451666B1
公开(公告)日：2022-09-20
申请号：US17445360
申请日：2021-08-18
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Saurabh Tahiliani
Abstract: A device may receive audio data of a first call between a first user and a second user. The device may generate, based on the audio data, time series data associated with an audio signal of the first call and may process, using a first machine learning model, the time series data to generate first call insight information regarding one or more first insights associated with the first call. The device may process the audio data to generate image data associated with the audio signal and may process, using a second machine learning model, the image data to generate second call insight information regarding one or more second insights associated with the first call. The device may combine the first call insight information and the second call insight information to generate combined call insight information and cause an action to be performed based on the combined call insight information.
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公开(公告)号：US20240296349A1
公开(公告)日：2024-09-05
申请号：US18176891
申请日：2023-03-01
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Keerthivasan Madurai
IPC: G06N5/022
CPC classification number: G06N5/022
Abstract: A device may include a processor configured to receive real-time data associated with a prediction usage system; determine one or more features associated with the received real-time data; select one or more relevant features, associated with a set of prediction output classes, based on the determined one or more features, using a knowledge graph for the set of prediction output classes; and provide the one or more relevant features as input to a prediction system for the set of prediction output classes. The processor may be further configured to obtain a prediction associated with the set of prediction output classes from the prediction system based on the provided one or more relevant features as input and provide the obtained prediction to the prediction usage system.
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Patent Agency Ranking
公开(公告)号：US20240096075A1
公开(公告)日：2024-03-21
申请号：US17933902
申请日：2022-09-21
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Saurabh Tahiliani
IPC: G06V10/82 , G06V10/70 , G06V10/776 , G06V10/778
CPC classification number: G06V10/82 , G06V10/768 , G06V10/776 , G06V10/7796
Abstract: A method may include receiving a number of images to train a first neural network, masking a portion of each of the images and inputting the masked images to the first neural network. The method may also include generating, by the first neural network, probable pixel values for pixels located in the masked portion of each of the plurality of images, forwarding the images including the probable pixel values to a second neural network and determining, by the second neural network, whether each of the probable pixel values is contextually suitable. The method may further include identifying pixels in each of the plurality of images that are not contextually suitable.
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公开(公告)号：US20240080689A1
公开(公告)日：2024-03-07
申请号：US18388546
申请日：2023-11-10
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Bharatwaaj Shankar , Sudhakar X. Lanka , Eswara P. Somarouthu , Keerthi Gudur
CPC classification number: H04W24/08 , G06N20/00 , H04W4/24 , H04W12/06 , H04W24/10 , H04W28/0252 , H04W64/003 , H04W72/51
Abstract: One or more computing devices, systems, and/or methods for identifying anomalous behavior of users are provided. In an example, users of a telecommunication service provider may be segmented into a plurality of user segments based upon telecommunication service metrics associated with the users. A machine learning model may be trained using telecommunication service information associated with users of the first user segment to generate a trained machine learning model. Using the trained machine learning model, a forecast of telecommunication service usage associated with a first user segment of the plurality of user segments. A telecommunication service usage metric, associated with a user belonging to the first user segment, may be compared with a range indicated by the forecast. The user may be flagged as having anomalous behavior based upon a determination that one or more telecommunication usage metrics, associated with the user, are outside one or more ranges indicated by the forecast.
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公开(公告)号：US11832119B2
公开(公告)日：2023-11-28
申请号：US17462602
申请日：2021-08-31
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Bharatwaaj Shankar , Sudhakar X. Lanka , Eswara P. Somarouthu , Keerthi Gudur
CPC classification number: H04W24/08 , G06N20/00 , H04W4/24 , H04W12/06 , H04W24/10 , H04W28/0252 , H04W64/003 , H04W72/51
Abstract: One or more computing devices, systems, and/or methods for identifying anomalous behavior of users are provided. In an example, users of a telecommunication service provider may be segmented into a plurality of user segments based upon telecommunication service metrics associated with the users. A machine learning model may be trained using telecommunication service information associated with users of the first user segment to generate a trained machine learning model. Using the trained machine learning model, a forecast of telecommunication service usage associated with a first user segment of the plurality of user segments. A telecommunication service usage metric, associated with a user belonging to the first user segment, may be compared with a range indicated by the forecast. The user may be flagged as having anomalous behavior based upon a determination that one or more telecommunication usage metrics, associated with the user, are outside one or more ranges indicated by the forecast.
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公开(公告)号：US20230065889A1
公开(公告)日：2023-03-02
申请号：US17462602
申请日：2021-08-31
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Bharatwaaj Shankar , Sudhakar X. Lanka , Eswar P. Somarouthu , Keerthi Gudur
Abstract: One or more computing devices, systems, and/or methods for identifying anomalous behavior of users are provided. In an example, users of a telecommunication service provider may be segmented into a plurality of user segments based upon telecommunication service metrics associated with the users. A machine learning model may be trained using telecommunication service information associated with users of the first user segment to generate a trained machine learning model. Using the trained machine learning model, a forecast of telecommunication service usage associated with a first user segment of the plurality of user segments. A telecommunication service usage metric, associated with a user belonging to the first user segment, may be compared with a range indicated by the forecast. The user may be flagged as having anomalous behavior based upon a determination that one or more telecommunication usage metrics, associated with the user, are outside one or more ranges indicated by the forecast.
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公开(公告)号：US12248387B2
公开(公告)日：2025-03-11
申请号：US17207536
申请日：2021-03-19
Applicant: Verizon Patent and Licensing Inc.
Inventor： Subham Biswas , Prashanth Veerapandian
IPC: G06F11/34
Abstract: Techniques for identifying user reaction in connection with an online application are disclosed. In one embodiment, a method is disclosed comprising obtaining activity data in connection with a user of an application, generating feature data using the obtained activity data, obtaining a user reaction prediction from a user reaction prediction model trained to output the user reaction prediction in response to the feature data. The user reaction prediction indicates a probability of the user reaction in connection with the application. A determination is made, using the user reaction prediction, whether or not to take a remedial action in connection with the user and the application.
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