Abstract: Disclosed are a polyethylene glycol conjugate drug, and a preparation method therefor and the use thereof. Specifically, the present invention relates to a polyethylene glycol conjugate drug represented by formula A or a pharmaceutically acceptable salt thereof, a method for preparing the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, an intermediate for preparing the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, a pharmaceutical composition comprising the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, and the use of the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof in the preparation of a drug.

Abstract: Active cables and communication methods can provide data path redundancy with power sharing. In one illustrative cable implementation, the cable includes a first connector with contacts to supply power to circuitry in the first connector; a second connector with contacts to supply power to a component of the circuitry in the first connector via a first connection that prevents reverse current flow; and a third connector with contacts to supply power to the same component via a second connection that prevents reverse current flow. An illustrative method implementation includes: using contacts of a first connector to supply power to circuitry in the first connector; and using contacts in each of multiple redundant connectors to supply power to a component of said circuitry in the first connector via a corresponding diodic or switched connection that prevents reverse current flow.

Abstract: A polishing pad has a polishing layer comprising a polymer matrix comprising the reaction product of an isocyanate terminated urethane prepolymer and a chlorine-free aromatic polyamine cure agent and chlorine-free microelements. The microelements can be expanded, hollow microelements. The microelements can have a specific gravity measured of 0.01 to 0.2. The microelements can have a volume averaged particle size of 1 to 120 or 15 to 30 micrometers. The polishing layer is chlorine free.

Abstract: A method for recognizing a Chinese-English mixed speech, includes: determining pronunciation information and scores of a language model, of speech information, in response to receiving the speech information; determining whether an English word exists in content of the speech information based on the pronunciation information; determining a Chinese word corresponding to the English word based on a preset Chinese-English mapping table in response to the English word existing in the content of the speech information, in which the Chinese-English mapping table includes a mapping relationship of at least one pair of English word and Chinese word; determining a score of the Chinese word corresponding to the English word; replacing a score of the English word in the scores of the language model with the score of the Chinese word; and obtaining a speech recognition result for the speech information based on the replaced scores of the language model.

Abstract: An in-cloud wake-up method and system, a terminal and a non-volatile computer-readable storage medium are provided. The in-cloud wake-up method includes: receiving wake-up voice input by a user, and transmitting the wake-up voice to cloud; performing an decoding operation on the wake-up voice in cloud to generate a wake-up text; identifying wake-up characters in the wake-up text; and providing a wake-up instruction according to an identification result. With the in-cloud wake-up method, voice can be identified in cloud, and a smart device can be waken up in cloud according to the identified voice, so that resource consumption and power loss of the terminal device are reduced in the case of ensuring the quality of wake-up.

Abstract: A container login method, a container login apparatus, and a storage medium are provided. In an example embodiment, a target container login request from a browser is received; a first connection between a server and the browser is established based on the target container login request; an address of a control node corresponding to a container cluster in which a target container is located is obtained based on an identifier of the container cluster; and a second connection between the server and the target container is established based on the address of the control node and an identifier of the target container, to log in to the target container.

Abstract: The present disclosure discloses an interactive voice-control method and apparatus, a device and a medium. The method includes: obtaining a sound signal at a voice interaction device and recognized information that is recognized from the sound signal; determining an interaction confidence of the sound signal based at least on at least one of an acoustic feature representation of the sound signal and a semantic feature representation associated with the recognized information; determining a matching status between the recognized information and the sound signal; and providing the interaction confidence and the matching status for controlling a response of the voice interaction device to the sound signal.

Abstract: An apparatus and method for parameter comprehensive monitoring and troubleshooting of power transformation and distribution are disclosed. The apparatus includes a data acquisition unit, an on-site CPU, a main CPU, an operation and maintenance control center, a UPS and an energy storage breaking mechanism. Each on-site CPU compares the relevant state values of equipment line collected by a data acquisition unit with a threshold set by fiber Bragg grating sensor nodes and sums up to a main CPU. The main CPU stores and display the relevant state values through a display screen. The node represents each distribution point. A link represents a data transmission path. An attached table displays all state parameters. A working state of the distribution equipment is determined according to a color of the node and the link.

Abstract: A method for training a speech recognition model, a device and a storage medium, which relate to the field of computer technologies, and particularly to the fields of speech recognition technologies, deep learning technologies, or the like, are disclosed. The method for training a speech recognition model includes: obtaining a fusion probability of each of at least one candidate text corresponding to a speech based on an acoustic decoding model and a language model; selecting a preset number of one or more candidate texts based on the fusion probability of each of the at least one candidate text, and determining a predicted text based on the preset number of one or more candidate texts; and obtaining a loss function based on the predicted text and a standard text corresponding to the speech, and training the speech recognition model based on the loss function.

Abstract: A voice recognition method, device, and a server are provided. The method includes: receiving a user voice; determining a wake-up voice of a wake-up word in the user voice, according to an acoustic feature of the user voice; and labeling the wake-up voice with a silence identifier; and ignoring the wake-up voice based on the silence identifier during voice recognition. As such, when a complex decoding algorithm is used to recognize the user voice, recognition of the wake-up word that is irrelevant to an instruction of the user is omitted, thus reducing the data amount to be processed by the decoding algorithm and improving the efficiency of voice recognition.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for speech recognition. The method includes: determining, based on an acoustic score of a speech frame in a speech signal, a non-silence frame in the speech signal; determining a buffer frame between adjacent non-silence frames based on the acoustic score of the speech frame, a modeling unit corresponding to the buffer frame characterizing a beginning or end of a sentence; and decoding a speech frame after removing the buffer frame from the speech signal, to obtain a speech recognition result.

Abstract: According to embodiments of the present disclosure, a method, apparatus, device, and computer readable storage medium for voice interaction are provided. The method includes: determining a text corresponding to the voice signal based on a voice feature of a received voice signal. The method further includes: determining, based on the voice feature and the text, a matching degree between a reference voice feature of an element in the text and a target voice feature of the element. The method further includes: determining a first possibility that the voice signal is an executable command based on the text. The method further includes: determining a second possibility that the voice signal is the executable command based on the voice feature.

Abstract: A method, apparatus, device, and computer readable storage medium for recognizing and decoding a voice based on a streaming attention model are provided. The method may include generating a plurality of acoustic paths for decoding the voice using the streaming attention model, and then merging acoustic paths with identical last syllables of the plurality of acoustic paths to obtain a plurality of merged acoustic paths. The method may further include selecting a preset number of acoustic paths from the plurality of merged acoustic paths as retained candidate acoustic paths. Embodiments of the present disclosure present a concept that acoustic score calculating of a current voice fragment is only affected by its last voice fragment and has nothing to do with earlier voice history, and merge acoustic paths with the identical last syllables of the plurality of candidate acoustic paths.

Abstract: A method for recognizing a Chinese-English mixed speech, includes: determining pronunciation information and scores of a language model, of speech information, in response to receiving the speech information; determining whether an English word exists in content of the speech information based on the pronunciation information; determining a Chinese word corresponding to the English word based on a preset Chinese-English mapping table in response to the English word existing in the content of the speech information, in which the Chinese-English mapping table includes a mapping relationship of at least one pair of English word and Chinese word; determining a score of the Chinese word corresponding to the English word; replacing a score of the English word in the scores of the language model with the score of the Chinese word; and obtaining a speech recognition result for the speech information based on the replaced scores of the language model.

Abstract: The present disclosure relates to a computer-implemented method for electronic design is provided. Embodiments may include receiving, using at least one processor, an electronic design having one or more unoptimized nets. Embodiments may further include applying a genetic algorithm to the electronic design, wherein the genetic algorithm includes a multi-stage routing analysis. A first stage analysis may apply a device-level global routing analysis, a second stage analysis may include an intra-row routing analysis, a third stage may include an inter-row routing analysis, and a fourth stage may include a post-routing optimization analysis. Embodiments may also include generating an optimized routing of the one or more unoptimized nets and displaying the optimized routing at a graphical user interface.

Abstract: The disclosure discloses a method for displaying a streaming speech recognition result, relates to a field of speech technologies, deep learning technologies and natural language processing technologies. The method includes: obtaining a plurality of continuous speech segments of an input audio stream, and simulating an end of a target speech segment in the plurality of continuous speech segments as a sentence ending, performing feature extraction on a current speech segment to be recognized based on a first feature extraction mode when the current speech segment is the target speech segment; performing feature extraction on the current speech segment based on a second feature extraction mode when the current speech segment is not the target speech segment; and obtaining a real-time recognition result by inputting a feature sequence extracted from the current speech segment into a streaming multi-layer truncated attention model, and displaying the real-time recognition result.

Abstract: The present disclosure provides a method and apparatus of performing a voice interaction, an electronic device and a readable storage medium, which relates to technical fields of voice processing and deep learning. The method of performing the voice interaction includes: acquiring an audio to be recognized; obtaining a recognition result for the audio to be recognized, by using an audio recognition model, and extracting an input of an output layer of the audio recognition model in a recognition process as a recognition feature; obtaining a response confidence level according to the recognition feature; and responding to the audio to be recognized, in response to determining that the response confidence level meets a preset response condition.

Abstract: A method and system for building a speech recognizer, and a speech recognition method and system are proposed. The method for building a speech recognizer includes: reading and parsing each grammar file, and building a network of each grammar; reading an acoustic syllable mapping relationship table, and deploying the network of each grammar as a syllable network; performing a merge minimization operation for each syllable network to form a sound element decoding network; forming the speech recognizer by using the sound element decoding network and a language model. The technical solutions of the present disclosure may be applied to exhibit strong extensibility, support an N-Gram language model, support a class model, present flexible use, and adapt for an embedded recognizer in a vehicle-mounted environment.

Abstract: The present disclosure relates to a computer-implemented method for electronic design. Embodiments may include receiving, using at least one processor, an electronic design schematic and an electronic design layout and training a model using at least one predictor associated with the electronic design layout. Embodiments may further include obtaining an updated model, based upon, at least in part, the training. Embodiments may also include applying the updated model to a second electronic design schematic or a second electronic design layout, wherein one or more hard constraints or one or more soft constraints or both are created, based upon, at least in part, the model.

Abstract: The present disclosure relates to a computer-implemented method for electronic circuit design. Embodiments may include receiving, using at least one processor, data corresponding to an electronic design schematic. Embodiments may further include analyzing the data to learn one or more device size parameters, a range of parameters, or a matching relationship of parameters based upon, at least in part, the electronic design schematic or the electronic design layout, wherein analyzing occurs without user action.