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公开(公告)号:US11822957B2
公开(公告)日:2023-11-21
申请号:US17413470
申请日:2020-09-02
发明人: Haijiao Hao , Xuguang Lv , Jianxin Zhao , Linhong Liu , Hao Li
IPC分类号: G06F9/48
CPC分类号: G06F9/4875 , G06F9/4881
摘要: The present disclosure provides a task migration method, apparatus, electronic device and storage medium, and relates to the technical field of data processing. The method may include: obtaining a task submitted by a user; in the case that the task is a Hadoop task and it is determined that task conversion is to be performed, converting Hadoop parameters in the task into parameters recognizable by a Spark; and injecting a conversion result into a predetermined kit and submitting the predetermined kit to a Spark cluster. The solution of the present disclosure may be applied to reduce the user's workload and enhance the processing efficiency etc.
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公开(公告)号:US10978042B2
公开(公告)日:2021-04-13
申请号:US16053912
申请日:2018-08-03
发明人: Hao Li
摘要: The present disclosure discloses a method and apparatus for generating a speech synthesis model. A specific embodiment of the method comprises: acquiring a text characteristic of a text and an acoustic characteristic of a speech corresponding to the text used for training a neural network corresponding to a speech synthesis model, fundamental frequency data in the acoustic characteristic of the speech corresponding to the text used for the training being extracted through a fundamental frequency data extraction model, and the fundamental frequency data extraction model being generated based on pre-training a neural network corresponding to the fundamental frequency data extraction model using the speech including each frame of speech having corresponding fundamental frequency data; and training the neural network corresponding to the speech synthesis model using the text characteristic of the text and the acoustic characteristic of the speech corresponding to the text.
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公开(公告)号:US11486713B2
公开(公告)日:2022-11-01
申请号:US16508259
申请日:2019-07-10
发明人: Hao Li , Guowei Wan , Yao Zhou , Shiyu Song , Fangfang Dong
摘要: Embodiments of the present disclosure disclose a method and apparatus for positioning an autonomous vehicle. The method includes: matching a current point cloud projected image of a first resolution with a map of the first resolution to generate a first histogram filter based on the matching result; determining at least two first response areas in the first histogram filter based on a probability value of an element in the first histogram filter; generating a second histogram filter based on a result of matching a current point cloud projected image of a second resolution with a map of the second resolution and the at least two first response areas, the first resolution being less than the second resolution; and calculating a weighted average of probability values of target elements in the second histogram filter to determine a positioning result of the autonomous vehicle in the map of the second resolution.
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公开(公告)号:US10296997B2
公开(公告)日:2019-05-21
申请号:US15504287
申请日:2015-09-15
IPC分类号: G06K9/00 , G06T1/00 , G06F16/432 , G06F16/951 , G06F16/58 , G06F16/783 , G06F17/30 , G06Q30/02 , H04N21/482
摘要: The present application discloses an image-based information acquisition method and apparatus. The information acquisition method comprises: acquiring a first image; determining a second image matching the first image from a preset image library; presenting first information related to a commercial item if the second image is associated with commercial item information; and presenting second information related to a video if the second image is associated with video information. The information acquisition method of the present application can directly use images as references for acquiring information, thereby implementing the objective of improving information acquisition efficiency and accuracy.
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公开(公告)号:US20190146062A1
公开(公告)日:2019-05-16
申请号:US16168179
申请日:2018-10-23
发明人: Guowei WAN , Hao Li , Yao Zhou , Shiyu Song , Fangfang Dong
CPC分类号: G01S7/4808 , G01S17/89 , G05D1/0088 , G05D1/0231 , G05D1/0274 , G05D2201/0213 , G06T3/0031 , G06T2207/10028
摘要: The present disclosure provides a laser point cloud positioning method and system. The method comprises: converting laser point cloud reflection value data and height value data matched with a current location of an autonomous vehicle into laser point cloud projection data in a ground plane; assigning a weight for a reflection value matching probability and a height value matching probability of the laser point cloud projection data and a laser point cloud two-dimensional grid map, and determining a matching probability of the laser point cloud projection data and the laser point cloud two-dimensional grid map; determining a location of the autonomous vehicle in the laser point cloud two-dimensional grid map based on a matching probability of the laser point cloud projection data and the laser point cloud two-dimensional grid map. The present disclosure is employed to solve the problem in the prior art that when the laser point cloud matches with the map, an undesirable matching effect is achieved by individually considering the reflection value matching or height value matching, or superimposing the two simply. The present disclosure can improve the laser point cloud positioning precision, and enhance robustness of the positioning system.
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公开(公告)号:US10789938B2
公开(公告)日:2020-09-29
申请号:US16099257
申请日:2016-09-05
发明人: Hao Li , Yongguo Kang
IPC分类号: G10L13/047 , G10L13/06 , G06F17/28 , G10L13/08 , G10L13/033 , G06F40/30 , G10L13/04
摘要: A speech synthesis method and device. The method comprises: determining language types of a statement to be synthesized; determining base models corresponding to the language types; determining a target timbre, performing adaptive transformation on the spectrum parameter models based on the target timbre, and training the statement to be synthesized based on the spectrum parameter models subjected to adaptive transformation to generate spectrum parameters; training the statement to be synthesized based on the fundamental frequency parameters to generate fundamental frequency parameters, and adjusting the fundamental frequency parameters based on the target timbre; and synthesizing the statement to be synthesized into a target speech based on the spectrum parameters, and the fundamental frequency parameters after adjusting.
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公开(公告)号:US10705188B2
公开(公告)日:2020-07-07
申请号:US16168179
申请日:2018-10-23
发明人: Guowei Wan , Hao Li , Yao Zhou , Shiyu Song , Fangfang Dong
摘要: The present disclosure provides a laser point cloud positioning method and system. The method comprises: converting laser point cloud reflection value data and height value data matched with a current location of an autonomous vehicle into laser point cloud projection data in a ground plane; assigning a weight for a reflection value matching probability and a height value matching probability of the laser point cloud projection data and a laser point cloud two-dimensional grid map, and determining a matching probability of the laser point cloud projection data and the laser point cloud two-dimensional grid map; determining a location of the autonomous vehicle in the laser point cloud two-dimensional grid map based on a matching probability of the laser point cloud projection data and the laser point cloud two-dimensional grid map. The present disclosure is employed to solve the problem in the prior art that when the laser point cloud matches with the map, an undesirable matching effect is achieved by individually considering the reflection value matching or height value matching, or superimposing the two simply. The present disclosure can improve the laser point cloud positioning precision, and enhance robustness of the positioning system.
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