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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
发明人: Subham Biswas , Saurabh Tahiliani
IPC分类号: G06T5/00 , G06T5/50 , G06V10/774 , G06V10/82 , G06V20/40
CPC分类号: G06T5/77 , G06T5/50 , G06T5/80 , G06V10/774 , G06V10/82 , G06V20/40 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084
摘要: 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
发明人: Subham Biswas , Saurabh Tahiliani
CPC分类号: H04M3/5183 , G10L15/1815 , G10L25/06 , G10L25/63 , H04M3/5175
摘要: 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
发明人: Subham Biswas , Saurabh Tahiliani
摘要: 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:US20240211994A1
公开(公告)日:2024-06-27
申请号:US18145279
申请日:2022-12-22
发明人: Subham Biswas , Saurabh Tahiliani
IPC分类号: G06Q30/0251 , G06V10/82 , G06V20/40
CPC分类号: G06Q30/0251 , G06V10/82 , G06V20/41
摘要: A method may include receiving frames associated with a video stream, identifying a first object image included in at least some of the frames and masking a region, in the at least some of the frames, associated with the first object image. The method may also include receiving information identifying at least one attribute associated with a user and identifying, based on the received information, a second object image to replace the first object image. The method may further include replacing pixel values in the masked region with contextually suitable pixel values associated with the second object image and outputting the video stream with the second object image replacing the first object image in the at least some of the frames.
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公开(公告)号:US11889168B1
公开(公告)日:2024-01-30
申请号:US17811732
申请日:2022-07-11
发明人: Subham Biswas , Saurabh Tahiliani
IPC分类号: H04N21/8549 , G10L15/02
CPC分类号: H04N21/8549 , G10L15/02 , G10L2015/025
摘要: 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:US11825353B2
公开(公告)日:2023-11-21
申请号:US17536971
申请日:2021-11-29
IPC分类号: H04W28/08
CPC分类号: H04W28/0958 , H04W28/095
摘要: A system described herein may provide a technique for the assignment of Centralized Units (“CUs”) to Distributed Units (“DUs”) in a radio access network (“RAN”) that includes a distributed or hierarchical arrangement of network infrastructure equipment. Different groups of DUs may be modeled based on usage or traffic patterns, and complementary groups of DUs may be identified based on measures of usage that may vary with time. For example, one model associated with one group of DUs may experience relatively heavy usage during morning hours and light usage during evening hours, and another model associated with a complementary group of DUs may experience relatively light usage during morning hours and heavy usage during evening hours.
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公开(公告)号:US11860957B2
公开(公告)日:2024-01-02
申请号:US17358535
申请日:2021-06-25
发明人: Subham Biswas , Bharatwaaj Shankar
IPC分类号: G06F16/00 , G06F16/9532 , G06F16/9538 , G06N3/08
CPC分类号: G06F16/9532 , G06F16/9538 , G06N3/08
摘要: An improved search engine is disclosed. The search engine receives search queries from client devices and inputs these queries into a first neural network (an action understanding model) that includes an action embedding layer. The action embedding layer can be a word embedding layer constructed using action terms. The action understanding model outputs a filter match associated with a type of filter and, in some scenarios, an action-condition pair. The action-condition pair includes an action associated with the type of filter and a condition comprising an adaptive value associated with the action. Based on the filter and, if present, action-condition pair(s), the embodiments generate a structured query and issue the structured query to a data repository (e.g., database). The search engine then returns a search results page responsive to the search query that includes the results returned by the data repository in response to the structured query.
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公开(公告)号:US11818293B1
公开(公告)日:2023-11-14
申请号:US17840010
申请日:2022-06-14
CPC分类号: H04M3/523 , H04M3/22 , H04M3/4228 , H04Q3/0029 , H04Q2213/13541
摘要: In some implementations, a device may obtain data indicating a client activity, and may determine predictive level scores corresponding to predictive level options associated with the client activity. The device may transmit, to a client device, a selected predictive level option having a highest predictive level score. The device may receive, from the client device, a client query based on a rejection of the selected predictive level option, and may determine intent level scores corresponding to intent level options associated with the client query. The device may identify a selected intent level option having a highest intent level score and may initiate client experience(s) associated with the selected intent level option. The predictive level scores and/or the intent level scores may be determined based on historical training data associated with combinations of client activities, predictive level options, client queries, intent level options, client experiences, and associated success scores.
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公开(公告)号:US20230196131A1
公开(公告)日:2023-06-22
申请号:US17559396
申请日:2021-12-22
发明人: Kushal Singla , Subham Biswas
摘要: A system described herein may receive a set of outputs of a first model, which have been generated by the first model based on a set of inputs, and identify a set of historical values that correspond to the set of inputs and the set of outputs. The inputs and the historical values may be associated with the same time series. The system may train a second model based on the set of inputs to the first model, the set of outputs of the first model, and the set of historical values that correspond to the set of inputs and the set of outputs. The system may determine, based on training the second model, a set of weights associated with the set of historical values; and refine the first model based on the set of weights associated with the set of historical value.
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公开(公告)号:US20230171644A1
公开(公告)日:2023-06-01
申请号:US17536971
申请日:2021-11-29
IPC分类号: H04W28/08
CPC分类号: H04W28/0958
摘要: A system described herein may provide a technique for the assignment of Centralized Units (“CUs”) to Distributed Units (“DUs”) in a radio access network (“RAN”) that includes a distributed or hierarchical arrangement of network infrastructure equipment. Different groups of DUs may be modeled based on usage or traffic patterns, and complementary groups of DUs may be identified based on measures of usage that may vary with time. For example, one model associated with one group of DUs may experience relatively heavy usage during morning hours and light usage during evening hours, and another model associated with a complementary group of DUs may experience relatively light usage during morning hours and heavy usage during evening hours.
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