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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: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:US20240103119A1
公开(公告)日:2024-03-28
申请号:US17934598
申请日:2022-09-23
Applicant: QUALCOMM Incorporated
Inventor: Jamie Menjay LIN , Tong TANG
CPC classification number: G01S5/0278 , G06N3/0472 , G06N3/08
Abstract: Certain aspects of the present disclosure provide techniques for training and using machine learning models to predict locations of stationary and non-stationary objects in a spatial environment. An example method generally includes measuring, by a device, a plurality of signals within a spatial environment. Timing information is extracted from the measured plurality of signals. Based on a machine learning model, the measured plurality of signals within the spatial environment, and the extracted timing information, locations of stationary reflection points and locations of non-stationary reflection points in the spatial environment are predicted. One or more actions are taken by the device based on predicting the locations of stationary reflection points and non-stationary reflection points in the spatial environment.
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公开(公告)号:US20240430383A1
公开(公告)日:2024-12-26
申请号:US18340203
申请日:2023-06-23
Applicant: QUALCOMM Incorporated
Inventor: Vinesh SUKUMAR , Jonathan KIES , Vikram GUPTA , Tong TANG , Ananthapadmanabhan Arasanipalai KANDHADAI , Vasudev BHASKARAN
Abstract: Embodiment systems and methods for dynamically rendering elements in a virtual environment rendered by the computing device may include monitoring interactions of participants in a virtual environment related to an element or elements presented in the virtual environment, identifying an agreement about the element or elements between at least two of the participants based on the interactions, and altering a presentation of the element or elements in the virtual environment based on the agreement by at least two of the participants.
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公开(公告)号:US20240420426A1
公开(公告)日:2024-12-19
申请号:US18334272
申请日:2023-06-13
Applicant: QUALCOMM Incorporated
Inventor: Jonathan KIES , Vinesh SUKUMAR , Michael Franco TAVEIRA , Tong TANG , Vikram GUPTA
Abstract: Techniques and systems are provided for displaying content by an extended reality apparatus. For instance, a process can include receiving content for display, wherein the content is associated with a first object and a first transition, the first transition indicating a change to apply to the content based on a trigger condition; outputting the content for display in association with the first object; determining that the trigger condition has been satisfied; in response to a determination that the trigger condition has been satisfied, modifying the content for presentation based on the first transition; and outputting the modified content for display.
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公开(公告)号:US20240221743A1
公开(公告)日:2024-07-04
申请号:US18557173
申请日:2021-07-27
Applicant: QUALCOMM Incorporated
Inventor: Jun WEI , Xiaoxia DONG , Qimeng PAN , Kwihyuk JIN , Tong TANG
CPC classification number: G10L15/22 , G10L25/63 , G10L25/84 , G10L2015/225 , G10L2015/228 , G10L2025/783
Abstract: Embodiments include methods of voice or speech recognition in varied environments and/or user emotional states executed by a processor of a computing device. The processor of a computing device may determine a voice or speech recognition threshold for voice or speech recognition based on information obtained from contextual information detected in an environment from which a received audio input was captured by the computing device and an emotional classification of a user's voice in the received audio input. The processor may determine a confidence score for one or more key words identified in the received audio input. The processor may then output results of a voice or speech recognition analysis of the received audio input in response to the determined confidence score exceeding the determined voice or speech recognition threshold.
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