General speech enhancement method and apparatus using multi-source auxiliary information

    公开(公告)号:US12094484B2

    公开(公告)日:2024-09-17

    申请号:US18360838

    申请日:2023-07-28

    Applicant: ZHEJIANG LAB

    CPC classification number: G10L21/0232 G10L17/02 G10L17/04 G10L25/30

    Abstract: The present disclosure discloses a general speech enhancement method and apparatus using multi-source auxiliary information. The method includes following steps: S1: building a training data set; S2: using the training data set to learn network parameters of a model, and building a speech enhancement model; S3: building a sound source information database in a pre-collection or on-site collection mode; S4: acquiring an input of the speech enhancement model; and S5: taking a noisy original signal as a main input of the speech enhancement model, taking auxiliary sound signals of a target source group and auxiliary sound signals of an interference source group as side inputs of the speech enhancement model for speech enhancement, and obtaining an enhanced speech signal.

    Medical ETL task dispatching method, system and apparatus based on multiple centers

    公开(公告)号:US12119108B2

    公开(公告)日:2024-10-15

    申请号:US18363701

    申请日:2023-08-01

    Applicant: ZHEJIANG LAB

    CPC classification number: G16H40/20 G06F9/4881 G06F16/254 G16H10/60

    Abstract: The present disclosure discloses a medical ETL task dispatching method, system and apparatus based on multiple centers. The method includes following steps: step S1: testing and verifying ETL tasks; step S2: deploying the ETL tasks to a hospital center, and dispatching the ETL tasks to a plurality of executors for execution; step S3: screening an executor set meeting resource demands of ETL tasks to be dispatched; step S4: calculating a current task load of each executor in the executor set; step S5: selecting the executor with a minimum current task load to execute the ETL tasks; and step S6: selecting, by the dispatching machine, the ETL tasks from executor active queues according to a priority for execution. The present disclosure selects the most suitable executor by analyzing a serving index as a task to be dispatched on a current dispatching machine.

    Functional connectivity matrix processing system and device based on feature selection using filtering method

    公开(公告)号:US11989883B2

    公开(公告)日:2024-05-21

    申请号:US18360796

    申请日:2023-07-27

    Applicant: ZHEJIANG LAB

    CPC classification number: G06T7/0014 G06T2207/10088 G06T2207/30016

    Abstract: The present application discloses a system and a device for functional connectivity matrix processing based on feature selection using a filtering method, which comprises the following steps: acquiring a preprocessed resting state brain functional magnetic resonance image of a subject; extracting time series; calculating a Pearson correlation coefficient to obtain a Pearson correlation coefficient matrix; vectorizing the Pearson correlation coefficient matrix; calculating quantitative correlation indices using a filtering method, and selecting a quantitative correlation index based on a preset threshold; performing weighting processing a selected functional connectivity feature by using the corresponding quantitative correlation index with high correlation with a disease diagnosis result to obtain a functional connectivity matrix; and obtaining a prediction result from the functional connectivity matrix.

    Multi-component abstract association and fusion method and apparatus in page design

    公开(公告)号:US12086534B2

    公开(公告)日:2024-09-10

    申请号:US18360794

    申请日:2023-07-27

    Applicant: ZHEJIANG LAB

    CPC classification number: G06F40/14 G10L15/22 G10L2015/223

    Abstract: The present disclosure discloses a multi-component abstract association and fusion method and apparatus in page design. The method includes the following steps: step S1: a construction demand is acquired, and the construction demand is analyzed through a speech recognition method to obtain a natural language text; step S2: an abstract model is constructed by predefining a component library, a rule library and a relationship library, and the abstract model performs components fusion to obtain a JSON structure of a fused component; step S3: the JSON structure of the fused component is escaped into a virtual DOM by using a rendering function, and attributes and events of a virtual DOM node are mapped to obtain a fused component drawing result; and step S4: a real DOM structure is created and interpolated into a real DOM node, so as to realize display of the fused component on a view.

    Method and apparatus for visual construction of knowledge graph system

    公开(公告)号:US11907390B2

    公开(公告)日:2024-02-20

    申请号:US18336053

    申请日:2023-06-16

    Applicant: ZHEJIANG LAB

    CPC classification number: G06F21/6218 G06F16/9024 G06F21/602 H04L9/3006

    Abstract: Discloses a method and an apparatus for visual construction of a knowledge graph system. In the present disclosure, data permission of a distributed client is determined through a central server. The central server obtains a master template of a knowledge graph system and sends it to the distributed client. The distributed client receives a natural language inputted by a user and parses to generate an abstract syntax tree. The user completes customization of a subtemplate of the knowledge graph system through visual operation. The distributed client encrypts the subtemplate and then sends it to the central server. When the knowledge graph system is to be used, any knowledge concept is inputted, the central server calls and decrypts the subtemplate and then searches a database, and a tree structure knowledge graph is generated and sent to the distributed client.

    System for the prognostics of the chronic diseases after the medical examination based on the multi-label learning

    公开(公告)号:US11735321B2

    公开(公告)日:2023-08-22

    申请号:US17543736

    申请日:2021-12-07

    Applicant: ZHEJIANG LAB

    CPC classification number: G16H50/20 G16H10/60 A61B5/7267 G16H40/20

    Abstract: Provided is a system for the prognostics of the chronic diseases after the medical examination based on the multi-label learning, including a data acquisition module, a data preprocessing module, a basic predicting model constructing module, and a local predicting module. The data acquisition module is configured to acquire physical examination data of a physical examination user. The basic predicting model constructing module is configured to construct a multi-label learning model for a physical examination scenario. The local predicting module includes a local model training unit and a predicting unit. The local model training unit adjusts the basic predicting model into a local predicting model, and solidifies the local predicting model into the local predicting module. The predicting unit outputs a predicted prognostic index for an occurrence of a plurality of chronic diseases, and finally acquires a future expected occurrence time of the chronic diseases.

    Method and system for automatically and quickly deploying front-end processor based on gray release

    公开(公告)号:US12236233B2

    公开(公告)日:2025-02-25

    申请号:US18360840

    申请日:2023-07-28

    Applicant: ZHEJIANG LAB

    Abstract: The present disclosure discloses a method and system for automatically and quickly deploying a front-end processor based on gray release. The system includes a user management module, a front-end processor engineering configuration module, a version iteration module and an engineering code version management repository, where the version iteration module is connected with the engineering code version management repository, the user management module and the front-end processor engineering configuration module, a code is obtained through the engineering code version management repository to perform updating or rollback of a current code, an operating permission of the front-end processor is obtained by using the user management module, an engineering configuration parameter is obtained from the front-end processor engineering configuration module for engineering gray release of a plurality of front-end processors, and a task scheduling function therein is called.

    Page multiplexing method, page multiplexing device, storage medium and electronic apparatus

    公开(公告)号:US12159125B2

    公开(公告)日:2024-12-03

    申请号:US18525804

    申请日:2023-11-30

    Applicant: ZHEJIANG LAB

    Abstract: Disclosed is a page multiplexing method, a page multiplexing device, a storage medium and an electronic apparatus. After obtaining the page frame information of pages to be configured in a client to be developed, a component relational tree corresponding to the plurality of pages can be determined. The component relational tree is compared with a pre-constructed reference relational tree to determine a target tree structure composed of target components from the reference relational tree. Dependencies between target components in the reference relational tree match those in the component relational tree. The component code of the target component used by the developed client is queried to multiplex the component code. The component relational tree corresponding to pages to be developed can be compared with the reference relational tree corresponding to each page included in the developed client to determine the component code that can be multiplexed.

Patent Agency Ranking