Method and apparatus for generating speech synthesis model

    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.

    Method and apparatus for positioning autonomous vehicle

    公开(公告)号:US11486713B2

    公开(公告)日:2022-11-01

    申请号:US16508259

    申请日:2019-07-10

    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.

    LASER POINT CLOUD POSITIONING METHOD AND SYSTEM

    公开(公告)号:US20190146062A1

    公开(公告)日:2019-05-16

    申请号:US16168179

    申请日:2018-10-23

    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.

    Speech synthesis method terminal and storage medium

    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

    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.

    Laser point cloud positioning method and system

    公开(公告)号:US10705188B2

    公开(公告)日:2020-07-07

    申请号:US16168179

    申请日:2018-10-23

    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.