Abstract: A blade noise reduction device, comprising a plurality of sawtooth units. The plurality of sawtooth units are arranged in a first direction. Each sawtooth unit comprises secondary teeth and a primary tooth, which extend in a second direction, wherein at least one secondary tooth is distributed on each of two sides of the primary tooth, the tooth vertex angle of the secondary tooth being smaller than the tooth vertex angle of the primary tooth. The blade noise reduction device can remarkably improve the noise reduction effect. In addition, the present invention further relates to a blade having the blade noise reduction device, and a wind turbine generator set having the blade.

Abstract: A method is performed at a backend server. The server receives a to-be-processed interaction message from a user interface of a social network platform. The server performs intention classification on the to-be-processed interaction message, to obtain an intention classification result of the to-be-processed interaction message. The server performs semantic analysis on the to-be-processed interaction message when the intention classification result comprises a mini program intention, to determine a message keyword of the to-be-processed interaction message. The server determines a program identifier of a target mini program corresponding to the to-be-processed interaction message according to the message keyword. The server transmits a message processing result based on the program identifier of the target mini program.

Abstract: A method is performed at a backend server. The server receives a to-be-processed interaction message from a user interface of a social network platform. The server performs intention classification on the to-be-processed interaction message, to obtain an intention classification result of the to-be-processed interaction message. The server performs semantic analysis on the to-be-processed interaction message when the intention classification result comprises a mini program intention, to determine a message keyword of the to-be-processed interaction message. The server determines a program identifier of a target mini program corresponding to the to-be-processed interaction message according to the message keyword. The server transmits a message processing result based on the program identifier of the target mini program.

Abstract: A method is performed at an electronic device. The electronic device receives, in a user interface of a social network platform, a to-be-processed interaction message/ The device transmits a message processing request based on the to-be-processed interaction message to a remote server, wherein the remote server identifies one or more target mini application programs based on semantic analysis of the to-be-processed interaction message. The device receives, from the server, a message processing result in accordance with the message processing request. The message processing result includes one or more links to the target mini application programs running on the social network platform. The electronic device displays, in the user interface, a target interaction message for each target mini application program according to the message processing result.

Abstract: A method is provided for processing random interaction data. The method includes receiving random interaction data sent by a first terminal, and adding the random interaction data to a resource pool. The random interaction data carries user attribute information and inputted conversation information of a user of the first terminal. The method also includes, when no reply message for the random interaction data is received from one or more second terminals, activating a second interface and sending the random interaction data to an intelligent dialog system via the second interface, where the intelligent dialog system is configured to automatically generate reply information according to at least the inputted conversation information and the user attribute information. The method also includes receiving the reply information returned by the intelligent dialog system; and sending the reply information to the first terminal.

Abstract: A method is performed at an electronic device. The electronic device receives, in a user interface of a social network platform, a to-be-processed interaction message/ The device transmits a message processing request based on the to-be-processed interaction message to a remote server, wherein the remote server identifies one or more target mini application programs based on semantic analysis of the to-be-processed interaction message. The device receives, from the server, a message processing result in accordance with the message processing request. The message processing result includes one or more links to the target mini application programs running on the social network platform. The electronic device displays, in the user interface, a target interaction message for each target mini application program according to the message processing result.

Abstract: A speech transmission method and apparatus include receiving at least one speech request packet sequentially sent by a terminal. Each speech request packet carries one speech data segment of the speech stream, an offset position, and a data length. The method includes generating a speech response packet corresponding to the speech request packet according to the speech request packet and other received speech request packets corresponding to the speech stream. The speech response packet carries an expected offset position and an expected data length. The method includes feeding back the speech response packet to the terminal, so that the terminal can make a determination for sending the next speech request packet according to the speech response packet.

Abstract: A method is provided for processing random interaction data. The method includes receiving random interaction data sent by a first terminal, and adding the random interaction data to a resource pool. The random interaction data carries user attribute information and inputted conversation information of a user of the first terminal. The method also includes, when no reply message for the random interaction data is received from one or more second terminals, activating a second interface and sending the random interaction data to an intelligent dialog system via the second interface, where the intelligent dialog system is configured to automatically generate reply information according to at least the inputted conversation information and the user attribute information. The method also includes receiving the reply information returned by the intelligent dialog system; and sending the reply information to the first terminal.

Abstract: Systems and methods are provided for voice data processing. For example, a first data packet included in voice data transmitted by a client is received; the first data packet is stored in a storage area; whether to process one or more second data packets stored in the storage area is determined based on at least information associated with a type of the first data packet and a current storage state of the storage area; in response to a determination to process the second data packets, voice resources are applied for; and the second data packets stored in the storage area are processed using the voice resources.

Abstract: A method of processing information content based on a Chinese language model is performed at a computer, the method including: identifying a plurality of expressions in the information content extracted from a speech input through speech recognition that is queued to be processed; dividing the expressions into a plurality of characteristic units according to semantic features and predetermined characteristics associated with each characteristic unit, each including a subset of the expressions and the predetermined characteristics at least including a respective integer number of expressions that are included in the characteristic unit; extracting, from the Chinese language model, a plurality of probabilities for punctuation marks associated with each characteristic unit; and in accordance with the probabilities, associating a respective punctuation mark with each characteristic unit included in the information content.

Abstract: A speech transmission method and apparatus include receiving at least one speech request packet sequentially sent by a terminal. Each speech request packet carries one speech data segment of the speech stream, an offset position, and a data length. The method includes generating a speech response packet corresponding to the speech request packet according to the speech request packet and other received speech request packets corresponding to the speech stream. The speech response packet carries an expected offset position and an expected data length. The method includes feeding back the speech response packet to the terminal, so that the terminal can make a determination for sending the next speech request packet according to the speech response packet.

Abstract: Systems and methods are provided for voice data processing. For example, a first data packet included in voice data transmitted by a client is received; the first data packet is stored in a storage area; whether to process one or more second data packets stored in the storage area is determined based on at least information associated with a type of the first data packet and a current storage state of the storage area; in response to a determination to process the second data packets, voice resources are applied for; and the second data packets stored in the storage area are processed using the voice resources.

Abstract: The various implementations described herein include systems, methods and/or devices used to enable load balancing in a speech recognition system. For example, in some implementations, the method includes, at a speech access server: (1) initializing the speech access server, (2) receiving a speech request from a terminal, (3) determining, in accordance with a predefined load balancing algorithm, a first speech recognition server to process the speech request, (4) determining whether the first speech recognition server is available for processing, (5) if the first speech recognition server is available, forwarding the speech request to the first speech recognition server for processing, and (6) if the first speech recognition server is not available: (a) determining whether other speech recognition servers are available for processing, and (b) if a second speech recognition server is available, forwarding the speech request to the second speech recognition server for processing.

Abstract: A method of processing information content based on a language model is performed at a computer, the method including the following steps: identifying a plurality of expressions in the information content that is queued to be processed; dividing the plurality of expressions into a plurality of characteristic units according to semantic features and predetermined characteristics associated with each of the plurality of characteristic units, each characteristic unit including a subset of the plurality of expressions and the predetermined characteristics at least including a respective integer number of expressions that are included in the characteristic unit; extracting, from the language model, a plurality of probabilities for a plurality of punctuation marks associated with each of the plurality of characteristic units; and in accordance with the extracted probabilities, associating a respective punctuation mark with each of the plurality of characteristic units included in the information content.