-
公开(公告)号：US20240305962A1
公开(公告)日：2024-09-12
申请号：US18181244
申请日：2023-03-09
发明人： Justin MCGLOIN , Joel LINSKY , Ziad ASGHAR , Vinesh SUKUMAR
摘要： 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.
-
公开(公告)号：US20240105206A1
公开(公告)日：2024-03-28
申请号：US17934833
申请日：2022-09-23
发明人： Hesu HUANG , Leonid SHEYNBLAT , Vinesh SUKUMAR , Ziad ASGHAR , Joel LINSKY , Justin MCGLOIN , Tong TANG
CPC分类号： G10L25/60 , G10L15/063 , G10L15/08 , G10L2015/0635 , G10L2015/088
摘要： 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.
-
公开(公告)号：US20230269283A1
公开(公告)日：2023-08-24
申请号：US17678860
申请日：2022-02-23
发明人： Miran CHUN , Michael Franco TAVEIRA , Paul TORRES , Vinesh SUKUMAR , Joel LINSKY
IPC分类号： H04L65/403 , H04L65/401 , H04L9/40
CPC分类号： H04L65/403 , H04L65/4015 , H04L63/04
摘要： 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.
-
公开(公告)号：US20240104420A1
公开(公告)日：2024-03-28
申请号：US17935067
申请日：2022-09-23
发明人： Kyu Woong HWANG , Seunghan YANG , Hyunsin PARK , Leonid SHEYNBLAT , Vinesh SUKUMAR , Ziad ASGHAR , Justin MCGLOIN , Joel LINSKY , Tong TANG
CPC分类号： G06N20/00 , G06K9/6218 , G06N5/04
摘要： 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.
-
公开(公告)号：US20230282224A1
公开(公告)日：2023-09-07
申请号：US17678873
申请日：2022-02-23
发明人： Miran CHUN , Michael Franco TAVEIRA , Paul TORRES , Vinesh SUKUMAR , Joel LINSKY
IPC分类号： G10L21/0232 , G10L25/60 , H04R1/40 , H04R3/00
CPC分类号： G10L21/0232 , G10L25/60 , H04R1/406 , H04R3/005 , G10L2021/02166
摘要： 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.
-
-
-
-
搜索结果
5 条记录 (耗时 0.012 秒)
