Method and apparatus for recognizing speech

    公开(公告)号:US10978047B2

    公开(公告)日:2021-04-13

    申请号:US16254336

    申请日:2019-01-22

    Inventor: Chao Tian

    Abstract: Embodiments of methods and apparatuses for recognizing a speech are provided. An implementation can include: determining an identity of a target user inputting the speech input signal; extracting a common expression set of the target user from a stored common expression database, the common expression set including a plurality of common expressions; extracting an acoustic feature of the speech input signal and input the same into an acoustic model to obtain an acoustic model score; judging whether a content of the speech input signal is a common expression of the target user based on the acoustic model score of the speech input signal and acoustic model scores of the common expressions in the stored common expression set of the target user; and if yes, decoding the acoustic feature of the speech input signal using a language model constructed based on common expressions, to obtain a speech recognition result.

    Mood recognition method, electronic device and computer-readable storage medium

    公开(公告)号:US10964338B2

    公开(公告)日:2021-03-30

    申请号:US16153148

    申请日:2018-10-05

    Inventor: Bo Xie

    Abstract: The present disclosure discloses a mood recognition method, a device, an electronic device and a computer-readable storage medium. The method includes: obtaining a sample text; obtaining a plurality of recordings corresponding to the sample text, in which the plurality of recordings are speech obtained by reading the sample text using a plurality of mood types; extracting a mood feature from each of the plurality of recordings, and determining a mood type corresponding to the mood feature; establishing a mood recognition model based on the sample text, mood features extracted from the plurality of recordings, and mood types corresponding to the mood features; and performing mood recognition on a speech data of a user based on the mood recognition model to obtain a corresponding mood meaning.

    METHOD AND DEVICE FOR LABELING POINT OF INTEREST

    公开(公告)号:US20210090266A1

    公开(公告)日:2021-03-25

    申请号:US16926238

    申请日:2020-07-10

    Abstract: Embodiments of the present disclosure provide a method and device for labelling a point of interest, a computer device, and a storage medium. The method includes the following. Image data to be labelled is obtained. The image data includes an image to be labelled and a collection location of the image to be labelled. Feature extraction is performed on the image to be labelled to obtain a first image feature of the image to be labelled. A first reference image corresponding to the image to be labelled is determined based on a similarity between the first image feature and a second image feature corresponding to each reference image in an image library. The point of interest of the image to be labelled is labelled based on a category of the first reference image and the collection location of the image to be labelled.

    METHOD AND APPARATUS FOR PROCESSING INFORMATION

    公开(公告)号:US20210089793A1

    公开(公告)日:2021-03-25

    申请号:US16914082

    申请日:2020-06-26

    Abstract: A method and apparatus for processing information are provided. A specific embodiment of the method includes: identifying at least one obstacle from a point cloud collected by a lidar during a traveling process of a vehicle; for an obstacle in the at least one obstacle, determining an appearance rate of the obstacle within a life cycle corresponding to the obstacle; determining a confidence degree of a grid region of at least one grid region based on appearance rates of obstacles in the at least one obstacle; determining a target grid region from the at least one grid region based on the confidence degree, and determining whether an obstacle detected in the target grid region is an obstacle detected for a first time; and if yes, filtering out a point cloud corresponding to the obstacle detected in the target grid region for the first time.

    Method, system and apparatus for storing website private key plaintext

    公开(公告)号:US10951595B2

    公开(公告)日:2021-03-16

    申请号:US15618655

    申请日:2017-06-09

    Abstract: The present application discloses a method, system and apparatus for storing a website private key plaintext. A specific implementation of the method includes: receiving a public key sent from a terminal configured to perform encryption and decryption, wherein the public key is generated at random by the terminal; encrypting a website private key plaintext by using the public key to generate a website private key ciphertext, wherein the website private key plaintext is pre-acquired; and sending the website private key ciphertext to the terminal, so that the terminal decrypts the website private key ciphertext by using the private key to generate the website private key plaintext and store the website private key plaintext in the terminal. This implementation improves the security of storage of the website private key plaintext.

    POI VALUATION METHOD, APPARATUS, DEVICE AND COMPUTER STORAGE MEDIUM

    公开(公告)号:US20210034993A1

    公开(公告)日:2021-02-04

    申请号:US16936190

    申请日:2020-07-22

    Abstract: A POI valuation method, apparatus, device and computer storage medium are disclosed. The method comprises: obtaining information of first POIs with known values and information of second POIs with unknown values within a regional range; creating a valuation model which is configured to revaluate a first POI using values of surrounding POIs of the first POI, the surrounding POIs including other first POIs and second POIs within a predetermined range of distance from the first POI, and adjusting values of second POIs in the surrounding POIs using an error between a revaluated value of first POI and the known value of the first POI; training the valuation model until the error is minimized; obtaining the values of the second POIs from the valuation model. The solutions may reduce the requirement for manpower and improve the valuation efficiency as compared with manually valuation of POIs one by one.

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