Abstract:
A method, system and terminal for deleting a sent instant message in messaging communication have been disclosed. The method including: receiving from a first communication terminal, a delete request to delete a sent instant message which has been transmitted from the first communication terminal to a second communication terminal, wherein the delete request comprises an identification which identifies the sent instant message which is to be deleted; determining whether the sent instant message which is to be deleted has already been successfully forwarded to the second communication terminal; and if it is determined that the sent instant message which is to be deleted has already been successfully forwarded to the second communication terminal, forwarding the delete request to the second communication terminal to facilitate deletion of the sent instant message by the second communication terminal.
Abstract:
A method, device, and terminal for displaying multiple users' locations on a map. The method includes: acquiring in real time, the most current locations of all the users who participate through an instant messaging chat system to share in sharing their locations; determining a starting location on a map, creating a starting region centered on the starting location, and gradually expanding the starting region in accordance with the most current location of each of the users who participate in sharing their locations, until a target region including the most current locations of all the users who participate in sharing their locations is acquired; and determining and displaying a viewable region on the map in accordance with the target region. The target region starting region expands to display a viewable region on the map as determined, such that the most current locations of users participating in sharing location is efficiently acquired.
Abstract:
A method, system and terminal for deleting a sent instant message in messaging communication have been disclosed. The method including: receiving from a first communication terminal, a delete request to delete a sent instant message which has been transmitted from the first communication terminal to a second communication terminal, wherein the delete request comprises an identification which identifies the sent instant message which is to be deleted; determining whether the sent instant message which is to be deleted has already been successfully forwarded to the second communication terminal; and if it is determined that the sent instant message which is to be deleted has already been successfully forwarded to the second communication terminal, forwarding the delete request to the second communication terminal to facilitate deletion of the sent instant message by the second communication terminal.
Abstract:
Methods and systems for facilitating real-time location sharing are disclosed herein. A computing device with processor(s) and memory displays a chat interface of a social networking platform for a conversation between two or more users including a first user and a second user associated with the computing device. The computing device receives a location-sharing request from the first user to join a real-time location sharing group and, in response, displays a message corresponding to the location sharing request from the first user among a set of messages in a first region of the chat interface and displays a location sharing status banner corresponding to the location-sharing request from the first user in a second region of the chat interface, where the location sharing status banner is displayed with a first display characteristic indicating that the second user has not yet joined the real-time location sharing group.
Abstract:
A method and device for displaying a window of security class software are disclosed. The method includes processing a window based on a selected window style according to a detection result of a security status of a processing equipment detected by the security class software, and displaying the window corresponding to the detection result. Based on characteristics of the security class software, a solution that can display different windows under one window style according to the detection result of the processing equipment is provided, so that a user can intuitively know the current security status of the processing equipment through an intelligently displayed window. Using skin change technology of the security class software, a user can be informed intuitively and vividly that whether the processing equipment used by the user is safe or not. When the processing equipment is unsafe, the user is prompted timely to eliminate potential safety hazard or search and kill viruses, thereby realizing a friend human-computer interaction.
Abstract:
This application provides a speech signal processing method performed by a computer device. Through an iterative training process, a teacher speech separation model can play a smooth role in the training of a student speech separation model based on the accuracy of separation results of the student speech separation model of outputting a target speech signal from a mixed speech signal and the consistency between separation results obtained by the teacher speech separation model of outputting the target speech signal from the mixed speech signal and the student speech separation model of performing the same task, thereby maintaining the separation stability while improving the separation accuracy of the student speech separation model as a trained speech separation model, and greatly improving the separation capability of the trained speech separation model.
Abstract:
A method for guiding palm verification performed by a computer device is disclosed. The method includes: displaying a guidance interface for palm verification, the guidance interface including graphical guidance information and the graphical guidance information comprising a movable element in a moving region, and a display location of the movable element in the moving region indicating a current distance between a palm and a detection device; dynamically adjusting the display location of the movable element in the moving region on the guidance interface in response to a change of the current distance between the palm and the detection device; and displaying first prompt information for indicating starting of verification or completion of verification when the display location of the movable element in the moving region meets a preset condition.
Abstract:
A mixed speech recognition method, a mixed speech recognition apparatus, and a computer-readable storage medium are provided. The mixed speech recognition method includes: monitoring an input of speech input and detecting an enrollment speech and a mixed speech; acquiring speech features of a target speaker based on the enrollment speech; and determining speech belonging to the target speaker in the mixed speech based on the speech features of the target speaker. The enrollment speech includes preset speech information, and the mixed speech is non-enrollment speech inputted after the enrollment speech.
Abstract:
A neural network training method is provided. The method includes obtaining an audio data stream, performing, for different audio data of each time frame in the audio data stream, feature extraction in each layer of a neural network, to obtain a depth feature outputted by a corresponding time frame, fusing, for a given label in labeling data, an inter-class confusion measurement index and an intra-class distance penalty value relative to the given label in a set loss function for the audio data stream through the depth feature, and updating a parameter in the neural network by using a loss function value obtained through fusion.
Abstract:
A speech keyword recognition method includes: obtaining first speech segments based on a to-be-recognized speech signal; obtaining first probabilities respectively corresponding to the first speech segments by using a preset first classification model. A first probability of a first speech segment is obtained from probabilities of the first speech segment respectively corresponding to pre-determined word segmentation units of a pre-determined keyword. The method also includes obtaining second speech segments based on the to-be-recognized speech signal, and respectively generating first prediction characteristics of the second speech segments based on first probabilities of first speech segments that correspond to each second speech segment; performing classification based on the first prediction characteristics by using a preset second classification model, to obtain second probabilities respectively corresponding to the second speech segments related to the pre-determined keyword; and determining, based on the second probabilities, whether the pre-determined keyword exists in the to-be-recognized speech signal.