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公开(公告)号：US20240305962A1
公开(公告)日：2024-09-12
申请号：US18181244
申请日：2023-03-09
Applicant: QUALCOMM Incorporated
Inventor： Justin MCGLOIN , Joel LINSKY , Ziad ASGHAR , Vinesh SUKUMAR
Abstract: receiving, by a control system, client device information from one or more client devices and transmitting, by the control system, sensor data request information to the one or more client devices. The client device information may indicate at least client device type information and client device sensor information. The sensor data request information may indicate one or more requested sensor data types and one or more requested sensor data transmission parameters. The one or more requested sensor data transmission parameters may indicate one or more threshold parameters for requested sensor data transmission, one or more variance parameters for requested sensor data transmission, or a combination thereof. Some examples may involve receiving, by the control system, sensor data from the one or more client devices based, at least in part, on the one or more requested sensor data transmission parameters.
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公开(公告)号：US20250131020A1
公开(公告)日：2025-04-24
申请号：US18492480
申请日：2023-10-23
Applicant: QUALCOMM Incorporated
Inventor： Vikram GUPTA , Wesley James HOLLAND , Ziad ASGHAR , Vinesh SUKUMAR , Roland MEMISEVIC
IPC: G06F16/332 , G06F16/335
Abstract: Various embodiments include systems and methods for improving the user experience with LXMs. A computing device may be configured to receive a user prompt, observe user responses to an output received from a LXM in response to a prompt that is at least partially based on the user's prompt, and take an action to improve the user's experience with the LXM based on the observed user response.
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公开(公告)号：US20240105206A1
公开(公告)日：2024-03-28
申请号：US17934833
申请日：2022-09-23
Applicant: QUALCOMM Incorporated
Inventor： Hesu HUANG , Leonid SHEYNBLAT , Vinesh SUKUMAR , Ziad ASGHAR , Joel LINSKY , Justin MCGLOIN , Tong TANG
CPC classification number: G10L25/60 , G10L15/063 , G10L15/08 , G10L2015/0635 , G10L2015/088
Abstract: Certain aspects of the present disclosure provide techniques and apparatus for improved machine learning. Voice data from a first user is received. In response to determining that the voice data includes an utterance of a defined keyword, a user verification score is generated by processing the voice data using a first user verification machine learning (ML) model, and a quality of the voice data is determined. In response to determining that the user verification score and determined quality satisfy one or more defined criteria, a second user verification ML model is updated based on the voice data.
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公开(公告)号：US20250054212A1
公开(公告)日：2025-02-13
申请号：US18447858
申请日：2023-08-10
Applicant: QUALCOMM Incorporated
Inventor： Wesley James HOLLAND , Ziad ASGHAR , Seyfullah Halit OGUZ , Daniel Jared SINDER , Vikram GUPTA , Khaled Helmi EL-MALEH , Vinesh SUKUMAR
Abstract: Systems and techniques are provided for adapting digital content. For example, a process can include obtaining a digital content comprising a default configuration for outputting the digital content to a device; outputting, by the device, the digital content based on the default configuration for outputting the digital content. The process can include obtaining, from a monitoring engine, content interaction information associated with outputting, by the device, the digital content based on the default configuration for outputting the digital content. The monitoring engine is configured to monitor one or more interactions between one or more users of the device and the digital content. The process can include generating, based on the content interaction information, a content adaptation for the digital content. The process can include outputting, by the device, the content adaptation for the digital content.
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公开(公告)号：US20230269283A1
公开(公告)日：2023-08-24
申请号：US17678860
申请日：2022-02-23
Applicant: QUALCOMM Incorporated
Inventor： Miran CHUN , Michael Franco TAVEIRA , Paul TORRES , Vinesh SUKUMAR , Joel LINSKY
IPC: H04L65/403 , H04L65/401 , H04L9/40
CPC classification number: H04L65/403 , H04L65/4015 , H04L63/04
Abstract: Systems and techniques are provided for processing audio data. For instance, a process can include detecting a first audio data between two or more in-person participants of a plurality of in-person participants of a group communication session. The first audio data can be identified as private based on one or more cues associated with the first audio data. A second audio data can be identified between the two or more in-person participants. The second audio data can be identified as non-private based on one or more additional cues associated with the second audio data, wherein the one or more additional cues associated with the second audio data are different from the one or more cues associated with the first audio data. The second audio data can be output based on identifying the second audio data as non-private.
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Patent Agency Ranking
公开(公告)号：US20250131024A1
公开(公告)日：2025-04-24
申请号：US18492379
申请日：2023-10-23
Applicant: QUALCOMM Incorporated
Inventor： Vikram GUPTA , Ziad ASGHAR , Wesley James HOLLAND , Vinesh SUKUMAR , Khaled Helmi EL-MALEH , Roland MEMISEVIC
IPC: G06F16/33 , G06F11/34 , G06F16/335 , H04L67/50
Abstract: Various embodiments include systems and methods for generating a prompt for a generative artificial intelligence (AI) models. A processing system including at least one processor may be configured to recognize a user of the computing device, obtain user context information from a source of physical context information in the computing device, receive a user prompt for the large generative AI model (LXM), select a user profile from among a plurality of user profiles based on the user, the user context information and the user prompt, generate an enhanced prompt based on the user prompt and information included in the selected user profile, and submit the enhanced prompt to the LXM.
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公开(公告)号：US20240104420A1
公开(公告)日：2024-03-28
申请号：US17935067
申请日：2022-09-23
Applicant: QUALCOMM Incorporated
Inventor： Kyu Woong HWANG , Seunghan YANG , Hyunsin PARK , Leonid SHEYNBLAT , Vinesh SUKUMAR , Ziad ASGHAR , Justin MCGLOIN , Joel LINSKY , Tong TANG
CPC classification number: G06N20/00 , G06K9/6218 , G06N5/04
Abstract: Certain aspects of the present disclosure provide techniques and apparatus for a training and using machine learning models in multi-device network environments. An example computer-implemented method for network communications performed by a host device includes extracting a feature set from a data set associated with a client device using a client-device-specific feature extractor, wherein the feature set comprises a subset of features in a common feature space, training a task-specific model based on the extracted feature set and one or more other feature sets associated with other client devices, wherein the feature sets associated with the other client devices comprise one or more subsets of features in the common feature space, and deploying, to each respective client device of a plurality of client devices, a respective version of the task-specific model.
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公开(公告)号：US20230282224A1
公开(公告)日：2023-09-07
申请号：US17678873
申请日：2022-02-23
Applicant: QUALCOMM Incorporated
Inventor： Miran CHUN , Michael Franco TAVEIRA , Paul TORRES , Vinesh SUKUMAR , Joel LINSKY
IPC: G10L21/0232 , G10L25/60 , H04R1/40 , H04R3/00
CPC classification number: G10L21/0232 , G10L25/60 , H04R1/406 , H04R3/005 , G10L2021/02166
Abstract: Systems and techniques are provided for processing audio data. For instance, a process can include obtaining a primary audio signal from a user computing device and obtaining first audio data from an additional computing device, wherein the additional computing device is within an auditory range of the user computing device. The primary audio signal can be filtered to generate a filtered primary audio signal. The filtering can include removing a representation of the first audio data from the primary audio signal. The filtered primary audio signal can be output to a network-based meeting.
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公开(公告)号：US20250055717A1
公开(公告)日：2025-02-13
申请号：US18447939
申请日：2023-08-10
Applicant: QUALCOMM Incorporated
Inventor： Wesley James HOLLAND , Ziad ASGHAR , Jian SHEN , Miran CHUN , Daniel Jared SINDER , Vikram GUPTA , Khaled Helmi EL-MALEH , Vinesh SUKUMAR
IPC: H04L12/18 , H04L67/131
Abstract: Systems and techniques are provided for coordinating multi-user experiences. For example, a process can include obtaining a plurality of settings associated with a plurality of multi-user experience participants. The plurality of settings includes one or more arbitrated settings and one or more non-arbitrated settings. The process can include arbitrating, by a settings arbitration engine, the one or more arbitrated settings to generate one or more adjusted settings for each arbitrated setting. The process can include generating, by an experience adaptation engine, an adapted multi-user experience, wherein the adapted multi-user experience is configured to enforce the one or more adjusted settings for each arbitrated setting.
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公开(公告)号：US20250054230A1
公开(公告)日：2025-02-13
申请号：US18447963
申请日：2023-08-10
Applicant: QUALCOMM Incorporated
Inventor： Wesley James HOLLAND , Ziad ASGHAR , Daniel Jared SINDER , Khaled Helmi EL-MALEH , Vikram GUPTA , Seyfullah Halit OGUZ , Miran CHUN , Fatih Murat PORIKLI , Jian SHEN , Vinesh SUKUMAR
Abstract: Systems and techniques are provided for conditioning virtual representatives. For example, a method can include obtaining, by a conditioning engine, a baseline model for a virtual representative; obtaining, by the conditioning engine, one or more conditioning inputs configured to condition an action in one or more multi-user experiences of the virtual representative; generating, based on the baseline model and the one or more conditioning inputs configured to condition an action in one or more multi-user experiences of the virtual representative, a conditioned model for the virtual representative; and outputting the conditioned model for the virtual representative.
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