Abstract: Provided are a voice denoising method and apparatus, a server and a storage medium. The voice denoising method comprises: acquiring voice signals synchronously collected by an acoustic microphone and a non-acoustic microphone (S100); carrying out voice activity detection according to the voice signal collected by the non-acoustic microphone to obtain a voice activity detection result (S110); and according to the voice activity detection result, denoising the voice signal collected by the acoustic microphone to obtain a denoised voice signal (S120). The effect of denoising can be enhanced, and the quality of voice signals can be improved.

Abstract: Provided is a gas switch triggered by an optical pulse introduced by an optical fiber, which solves the problem of the existing electrically-triggered gas switch and laser-triggered gas having a complicated trigger system, being insufficiently reliable and having a higher cost due to the pulse amplitude/laser beam energy having higher requirements. The gas switch triggered by an optical pulse introduced by an optical fiber includes at least one trigger gap and one self-breakdown gap; each trigger gap is connected in parallel to a photoconductive switch, and an optical fiber is correspondingly provided for introducing an optical pulse for triggering.

Abstract: Techniques for searching documents are described. An exemplary method includes receiving a document search query; querying at least one index based upon the document search query to identify matching data; fetching the identified matched data; determining one or more of a top ranked passage and top ranked documents from the set of documents based upon one or more invocations of one or more machine learning models based at least on the fetched identified matched data and the document search query; and returning one or more of the top ranked passage and the proper subset of documents.

Abstract: Techniques for displaying a search are described. An exemplary method includes receiving a search query, performing the search query on a plurality of documents, the documents including text passages, to generate a search query result, determining an aspect of the search query result that has a confidence value that exceeds a first confidence threshold with respect to its relevance to the search query; and, displaying the search result including an emphasis on the aspect of the result exceeds the first confidence threshold.

Abstract: Techniques for generation of synthetic queries from customer data for training of document querying machine learning (ML) models as a service are described. A service may receive one or more documents from a user, generate a set of question and answer pairs from the one or more documents from the user using a machine learning model trained to predict a question from an answer, and store the set of question and answer pairs generated from the one or more documents from the user. The question and answer pairs may be used to train another machine learning model, for example, a document ranking model, a passage ranking model, a question/answer model, or a frequently asked question (FAQ) model.

Abstract: The disclosure discloses an apparatus and a method for microbial cell counting, and belongs to the field of cell counting. In the present application, by converting a traditional automated intermittent counting process into a continuous counting process, the cell sap fixed in a blood cell plate in a traditional counter becomes the cell sap flowing in a microchannel, so as to prolong the cell detection time and distance. The size of the microchannel is slightly greater than the diameter of microbial cells, so as to ensure that the cells flow through the cross section of the microchannel one by one. At the same time, since the diameter of the counterbores communicated by the microchannel is slightly greater than the width of the microchannel, the flow rate of the cell sap slows down when the cell sap flows to the counterbores.

Abstract: An echo cancellation method based on delay estimation is provided. In the method, a microphone signal and a reference signal are received and preprocessed. In the preprocessed microphone signal and the preprocessed reference signal, frequency point signals with non-linearity in a current echo cancellation scenario are determined. A current delay estimation value is calculated based on frequency point signals without non-linearity in the microphone signal and the reference signal. The reference signal is shifted based on the current delay estimation value. An adaptive filter is updated based on the preprocessed microphone signal and the shifted reference signal, to perform echo cancellation.

Abstract: A semantic parsing method using a graph-to-sequence model, system, and computer program product include generating a syntactic graph for a sentence, generating node embeddings for each node based on other nodes the each node is connected to in the syntactic graph, generating a graph embedding over the node embeddings, performing attention-based recurrent neural network (RNN) decoding of the graph embedding and the node embeddings, and providing a logical translation of the sentence based on the decoding.

Abstract: Provided are a voice denoising method and apparatus, a server and a storage medium. The voice denoising method comprises: acquiring voice signals synchronously collected by an acoustic microphone and a non-acoustic microphone (S100); carrying out voice activity detection according to the voice signal collected by the non-acoustic microphone to obtain a voice activity detection result (S110); and according to the voice activity detection result, denoising the voice signal collected by the acoustic microphone to obtain a denoised voice signal (S120). The effect of denoising can be enhanced, and the quality of voice signals can be improved.

Abstract: A microphone array-based target voice acquisition method and device, said method comprising: receiving voice signals acquired on the basis of a microphone array (101); determining a pre-selected target voice signal and a direction thereof (102); performing strong directional gain and weak directional gain on the pre-selected target voice signal, so as to obtain a strong gain signal and a weak gain signal (103); performing an endpoint detection on the basis of the strong gain signal, so as to obtain an endpoint detection result (104); and performing endpoint processing on the weak gain signal according to the endpoint detection result, so as to obtain a final target voice signal (105). The present invention can obtain an accurate and reliable target voice signal, thereby avoiding an adverse effect of the target voice quality on subsequent target voice processing.

Abstract: A target voice detection method and a target voice detection apparatus are provided. The method includes: receiving sound signals collected by a microphone array; performing a beamforming process on the sound signals to obtain beams in different directions; extracting a detection feature of each frame based on the sound signals and the beams in different directions; inputting an extracted detection feature of a current frame into a pre-constructed target voice detection model to obtain a model output result; and obtaining a target voice detection result of the current frame based on the model output result.

Abstract: The present utility model relates to a device for improving gas detection in a photoionization detector. A gas detector is provided. The device reduces interference of photoelectric noise on the reading of the gas detector for target gases such as volatile organic compounds.

Abstract: A method (and structure and computer product) of machine translation for processing input questions includes receiving, in a processor on a computer, an input question presented in a natural language. The input question is preprocessed to find one or more condition values for possible Structured Query Language (SQL) queries. One or more possible SQL queries are enumerated based on the one or more found condition values and a paraphrasing model is used to rank the enumerated SQL queries. The highest ranked SQL query is executed against a relational database to search for a response to the input question.

Abstract: The present invention discloses a model-free online recursive optimization method for a batch process based on variable period decomposition. Variable operation data closely related to product quality is acquired, optimization action on each subset is integrated on the basis of time domain variable division on the process by utilizing a data driving method and a global optimization strategy is formed, based on which an online recursive error correction optimization strategy is implemented. According to the method, the online optimization strategy is formed completely based on the operation data of the batch process without needing prior knowledge or a model of a process mechanism. Meanwhile, the optimized operation locus line has better adaptability by using the online recursive correction strategy, and thus the anti-interference requirement of the actual industrial production is better met.

Abstract: A neck massaging device includes an elastic support, a silicone rubber base arranged on the elastic support. An electrode plate disposed on a side of the silicone rubber base facing away from the elastic support massages a neck of a wearer.

Abstract: A neck massaging device includes a carrying body, a hollow flexible sleeve tensioned over the carrying body, an electrode assembly disposed on the flexible sleeve, a pair of handles connected to each end of the carrying body, and an electric pulse generating device electrically connected with the electrode assembly, and arranged in one of the handles.

Abstract: A method, an apparatus and a device for converting a whispered speech, and a readable storage medium are provided. The method is implemented based on the whispered speech converting model. The whispered speech converting model is trained in advance by using recognition results and whispered speech training acoustic features of whispered speech training data as samples and using normal speech acoustic features of normal speech data parallel to the whispered speech training data as sample labels. A whispered speech acoustic feature and a preliminary recognition result of whispered speech data are acquired, then the whispered speech acoustic feature and the preliminary recognition result are inputted into a preset whispered speech converting model to acquire a normal speech acoustic feature outputted by the model. In this way, the whispered speech can be converted to a normal speech.

Abstract: A neck-hanging massaging device includes an elastic arm, a first handle, a second handle, an electrode assembly and an electric pulse generating device. The first handle and the second handle are fixedly connected to the two sides of the elastic arm. The electrode assembly is arranged on the elastic arm. The electric pulse generating device is electrically connected with the electrode assembly. The electric pulse generating device is arranged in the first handle.

Abstract: A pharmaceutical composition including neptinib is provided. The composition includes neptinib or a pharmaceutically acceptable salt thereof, and an excipient at a low risk of compatibleness. Furthermore, the pharmaceutical composition of the present invention may also include pharmaceutically acceptable organic acid or inorganic acid as a stabilizer. The content of impurity A maintains a non-significant increase in the long-term and accelerated stability investigation for the pharmaceutical composition.

Abstract: A method of machine translation includes receiving a query as input data. The input data is converted, using a processor on a computer, into a graph.