Fault Detection Method and Device of Live Stream Service, Electronic Device, and Readable Storage Medium

    公开(公告)号:US20230094834A1

    公开(公告)日:2023-03-30

    申请号:US17802357

    申请日:2021-10-21

    Inventor: Bingxin LENG

    Abstract: A method, a device, an electronic device and a readable storage medium detect a fault of a live stream service. The method specifically includes: obtaining log data of a live stream service; performing statistics on the log data according to a plurality of dimensions to be detected, to obtain log statistics data in each of the plurality of dimensions; analyzing the log statistics data in each of the plurality of dimensions respectively to obtain an analysis result; determining whether a live link portion corresponding to the log statistics data in each of the plurality of dimensions has a fault, according to the analysis result.

    SPEECH RECOGNITION AND CODEC METHOD AND APPARATUS, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230090590A1

    公开(公告)日:2023-03-23

    申请号:US17738651

    申请日:2022-05-06

    Abstract: The present disclosure provides speech recognition and codec methods and apparatuses, an electronic device and a storage medium, and relates to the field of artificial intelligence such as intelligent speech, deep learning and natural language processing. The speech recognition method may include: acquiring an audio feature of to-be-recognized speech; encoding the audio feature to obtain an encoding feature; truncating the encoding feature to obtain continuous N feature fragments, N being a positive integer greater than one; and acquiring, for any one of the feature segments, corresponding historical feature abstraction information, encoding the feature segment in combination with the historical feature abstraction information, and decoding an encoding result to obtain a recognition result corresponding to the feature segment, wherein the historical feature abstraction information is information obtained by feature abstraction of recognized historical feature fragments.

    METHOD AND APPARATUS FOR DETERMINING MULTIMEDIA EDITING INFORMATION, DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230085665A1

    公开(公告)日:2023-03-23

    申请号:US18059542

    申请日:2022-11-29

    Inventor: Tong WU Wei YANG

    Abstract: A method for determining multimedia editing information includes: obtaining a first playback time of a first target frame in first multimedia data to be edited, a second playback time of the first target frame for second multimedia data after editing and a playback multi-times speed set for the first multimedia data; determining, based on the first playback time and the second playback time, a time deviation that occurs while editing the first multimedia data at the playback multi-times speed for the first multimedia data; and determining, based on the time deviation, the first playback time, the second playback time and the playback multi-times speed, a playback time of the first multimedia data corresponding to each playback time of the second multimedia data after the second playback time.

    METHOD FOR GENERATING FEDERATED LEARNING MODEL

    公开(公告)号:US20230084055A1

    公开(公告)日:2023-03-16

    申请号:US17991958

    申请日:2022-11-22

    Abstract: A method for generating a federated learning model is provided. The method includes obtaining images; obtaining sorting results of the images; and generating a trained federated learning model by training a federated learning model to be trained according to the images and the sorting results. The federated learning model to be trained is obtained after pruning a federated learning model to be pruned, and a pruning rate of a convolution layer in the federated learning model to be pruned is automatically adjusted according to a model accuracy during the pruning.

    METHOD AND APPARATUS FOR ADJUSTING VIRTUAL FACE MODEL, ELECTRONIC DEVICE AND STORAGE MEDIUM

    公开(公告)号:US20230083831A1

    公开(公告)日:2023-03-16

    申请号:US17653380

    申请日:2022-03-03

    Abstract: The present disclosure provides a method and apparatus for adjusting a virtual face model, an electronic device and a storage medium, so as at least to solve the technical problems of tedious operation steps and poor user experience of conventional solutions for adjusting a virtual image. A specific implementation solution includes: a real human face in a reality scene is identified to obtain a first virtual face model of the real human face in a virtual scene; in response to a face-pinching operation acting on the real human face, the face-pinching operation is identified to determine at least one to-be-adjusted key point in the first virtual face model and an adjustment manner of the at least one to-be-adjusted key point; and the first virtual face model is adjusted to a second virtual face model based on the adjustment manner of the at least one to-be-adjusted key point.

    FEDERATED LEARNING METHOD AND SYSTEM, ELECTRONIC DEVICE, AND STORAGE MEDIUM

    公开(公告)号:US20230083116A1

    公开(公告)日:2023-03-16

    申请号:US17988264

    申请日:2022-11-16

    Abstract: A federated learning method and system, an electronic device, and a storage medium, which relate to a field of artificial intelligence, in particular to fields of computer vision and deep learning technologies. The method includes: performing a plurality of rounds of training until a training end condition is met, to obtain a trained global model; and publishing the trained global model to a plurality of devices. Each of the plurality of rounds of training includes: transmitting a current global model to at least some devices in the plurality of devices; receiving trained parameters for the current global model from the at least some devices; performing an aggregation on the received parameters to obtain a current aggregation model; and adjusting the current aggregation model based on a globally shared dataset, and updating the adjusted aggregation model as a new current global model for a next round of training.

    Methods for Shunting Clustered Gateways

    公开(公告)号:US20230081696A1

    公开(公告)日:2023-03-16

    申请号:US17657708

    申请日:2022-04-01

    Abstract: The present disclosure provides methods for shunting clustered gateways, which relate to the field of computer technologies, and in particular, relate to the technical field of data transmission. A specific implementation solution is: in response to receiving a first packet sent by a target internal network machine, a first hash value is acquired, wherein the first hash value is generated by a shunt of a public network gateway cluster, and the shunt is configured to perform a hash calculation on the first packet based on a pre-configured port dictionary; a target gateway machine is selected from the public network gateway cluster according to the first hash value; and the first packet is sent to the target gateway machine.

    METHOD FOR GENERATING CROSS-LINGUAL TEXTUAL SEMANTIC MODEL, AND ELECTRONIC DEVICE

    公开(公告)号:US20230080904A1

    公开(公告)日:2023-03-16

    申请号:US18054608

    申请日:2022-11-11

    Abstract: A method for generating a cross-lingual textual semantic model includes: acquiring a set of training data that includes pieces of monolingual non-parallel text and pieces of bilingual parallel text; determining a semantic vector of each piece of text in the set of training data by inputting each piece of text into an initial textual semantic model; determining a distance between semantic vectors of each two pieces of text in the set of training data based on the semantic vector of each piece of text in the set of training data; determining a gradient modification based on a parallel relationship between each two pieces of text in the set of training data and the distance between the semantic vectors of each two pieces of text in the set of training data; and acquiring a modified textual semantic model by modifying the initial textual semantic model based on the gradient modification.

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