28 results about "Data entry error" patented technology

The invention provides a two-process error correction method and device for real-time speech transcription, and relates to the technical field of speech processing, and the method comprises the steps: extracting the Mel spectrum features of each segment, inputting each Mel spectrum feature into a lightweight end-to-end model, and obtaining a preliminary transcription text; splicing the segments according to a preset number to obtain a plurality of long segments, and inputting each long segment into a speech recognition model to obtain a high-precision transcription text; performing text comparison on the preliminary transcription text and the high-precision transcription text according to the confidence degree set of the preliminary transcription text to obtain all error vocabularies in the preliminary transcription text; and performing corresponding error correction processing on each error vocabulary in the preliminary transcription text according to the type of the error vocabulary and the high-precision transcription text to obtain a final transcription text. According to the method, through a two-process transcription error correction mechanism of the preliminary transcription text and the high-precision transcription text, transcription error accumulation is reduced on the premise that the real-time performance is not affected, and the transcription accuracy in a complex scene is improved.

The invention provides a hospital adverse event risk identification method and system based on causal reasoning, and the method comprises the steps: responding to an operation request of a user for reporting a hospital adverse event based on the optimization of medical advice data processing and a medical quality management process in an operation risk identification scene, inputting the detailed information of the event through a formatted form, and carrying out the operation of the event. Through multi-node, multi-auditor and multi-department cooperative auditing, an adverse event form reported by a user is subjected to approval, flow and summary analysis, medical advice data is subjected to structured storage by adopting visual enhancement OCR, dynamic knowledge graph verification and a time sequence causal reasoning model, a time window division algorithm is adopted, and medical advice data is obtained. The causal discovery algorithm constructs an unplanned re-operation association network, early warning of adverse events of operation complications is carried out, and compared with a traditional mode, the medical advice processing efficiency, the transcription error rate and the unplanned operation detection rate are all greatly improved.

A method for correcting misrecognized entity names in audio transcriptions includes receiving a transcribed utterance including dialog of a conversation and obtaining conversation context data associated with the conversation to compile a contextually relevant entity list of entities with contextual relevance to the transcribed utterance. The method further includes providing a phonetic similarity model with an input that includes the transcribed utterance and an instruction to use the contextually relevant entity list to identify specific entities phonetically similar to the transcribed utterance; and receiving, from the phonetic similarity model, an output identifying one or more entity names from the contextually relevant entity list that has been determined to satisfy a phonetic similarity metric with the transcribed utterance. The one or more entity names output by the phonetic similarity model are then used to correct a transcription error in the transcribed utterance using

The invention discloses electronic digital compass equipment, which comprises a vector sensing module, a data processing module, a trigger module, a result output module and a storage module, and is characterized in that the vector sensing module is used for acquiring original vector data required by geological survey, and ensuring the accuracy and environmental adaptability of data acquisition; the data processing module is used for receiving original data of the vector sensing module and calculating geological elements through coordinate transformation, vector operation and a calibration algorithm, the trigger module is used for controlling measurement starting time and ensuring that equipment collects data in a stable state, and the result output module is used for displaying the geological elements of a measurement surface in real time in a digital mode. The storage module is used for storing data according to a geological survey format to avoid artificial transcription errors; according to the invention, through an electronic and digital measurement mode, accurate measurement of geological elements of field geological levels or sections is realized, and the precision and efficiency of measurement of geological elements such as tendency and trend in geological survey are effectively improved.

An apparatus and method for correcting errors in transcribed voice commands, wherein the method comprises: receiving a voice command transcript; running a trained joint intent classification and slot filling model to generate contextualized word features and / or embeddings from word sequences detected in the transcript and subject them to intent classification and slot filling to generate predicted intent and slot value; running a trained phonetic based phrase confusion-aware model for correcting a transcription error in the predicted slot value; comparing the predicted slot value and / or an encoding or embedding generated from the predicted slot value against a plurality of predetermined valid slot values and / or a plurality of predetermined encodings or embeddings; and determining phonetic similarity scores for the predicted slot value against each valid slot value; and replacing the predicted slot value containing the transcription error with the valid slot value with highest phonetic similarity score.

The invention relates to the technical field of medical information technology and natural language processing, in particular to a medical science popularization live broadcast dialogue transcription method and device based on a large language model. And the final accuracy and availability of the medical science popularization live broadcast dialogue transcription can be obviously improved. According to the method, the inherent defects of a traditional ASR system in terms recognition and speaker separation in the medical industry are effectively overcome, and the word error rate and the medical concept error rate are greatly reduced, so that the medical knowledge spreading risk and the high manual calibration cost caused by transcription errors are reduced. Meanwhile, according to the scheme, complex structure modification or additional data training does not need to be carried out on a large language model, the inherent text understanding and generating capacity of the large language model is fully utilized, and efficient production and propagation of high-quality medical science popularization content are greatly promoted.

A method includes obtaining a set of training queries that each specify a corresponding operation to perform and include a corresponding plurality of speech recognition hypotheses that each represent a corresponding candidate transcription of the training query, and a corresponding ground-truth transcription of the training query. For each training query, the method includes processing, using an encoder of a neural semantic parsing (NSP) model, the corresponding plurality of speech recognition hypotheses to generate a corresponding NSP embedding, processing, using a transcription decoder, the corresponding NSP embedding to generate a corresponding predicted transcription, and determining a corresponding first loss based on the corresponding predicted transcription and the corresponding ground-truth transcription. The method further includes training, based on the first losses determined for the set of training queries, the NSP model to learn how to predict user intents associated with the operations specified by the training queries.

The invention belongs to the technical field of artificial intelligence, and discloses an artificial intelligence technology assistance-based education consultation service method, which comprises the steps of obtaining original voice data in an education consultation scene, and removing background noise through time-frequency masking processing to obtain high-quality de-noised voice data; performing character transcription on the de-noised voice data, performing adaptive text segmentation by using a pre-constructed term index database, and identifying and replacing terms which are wrongly transcribed; the method comprises the following steps of: normalizing oral statements in a text through anaphora resolution based on a context memory mechanism and an omission and completion technology based on dependency syntactic analysis; generating a preliminary scheme framework containing problem diagnosis, core suggestion and implementation steps by utilizing a large language model based on the standardized text; according to the method, the accuracy of voice recognition and the continuity of semantic understanding in education consultation can be effectively improved, and automatic and structured output of professional consultation schemes is realized.

The invention discloses a bank bill identification method and system, and the method comprises the steps: collecting an image, and carrying out the preprocessing of the image, and obtaining a preprocessed image; performing feature extraction and recognition on the preprocessed image to obtain a recognition result; performing intelligent verification and correction on the identification result to obtain correction data; and performing data output and management on the corrected data. An intelligent verification function is integrated, the consistency of bill information can be automatically compared, and data input errors are effectively prevented.

This invention relates to the field of weighing technology, and in particular to a height and weight data acquisition system based on wristband QR code recognition. The system includes a base plate, a first support column fixedly connected to the rear upper side of the base plate, a second support column rotatably connected to the upper end of the first support column via a hinge, and a mounting plate rotatably connected to the upper end of the second support column via a damping shaft. A height measurement module is installed inside the mounting plate at the end furthest from the second support column. A housing is connected to the side end of the first support column via an adjustment component, and a display screen and a QR code recognition module are fixedly connected inside the front end of the housing. A weighing module is fixedly connected to the upper upper part of the base plate. A main board is fixedly connected inside the first support column, and a data processing module, a communication module, and a power supply module are fixedly connected to the main board. This invention eliminates the need for manual intervention during the uploading of weight and height data, significantly improving the efficiency and accuracy of data acquisition and avoiding potential identity mismatches or data entry errors in traditional methods.

The invention discloses a residential land, public management and public service land soil pollution condition survey report form compiling system, which is characterized in that an account registration module generates a unique user account based on user information and land parcel codes, so that the uniqueness and traceability of data attribution are ensured, and data confusion is avoided; the first application module and the second application module respectively provide independent and collaborative operation ports, support single-user and multi-user data entry, management and calling, and significantly improve the working efficiency; the data storage module synchronously operates data in real time through the cloud, the delay risk of paper or offline data transmission is reduced, and human intervention links are reduced through a standardized process and an automatic verification mechanism, so that the data entry error rate is reduced, and the accuracy and reliability of a soil pollution assessment result are ensured; therefore, the technical problem that the accuracy of the evaluation result is affected due to the fact that the existing method not only consumes labor cost and time cost, but also easily causes data entry errors due to human factors is solved.

The application relates to the technical field of data collection management, and discloses a clinical data collection management system which comprises a data collection and integration module, a data verification and cleaning module, a safe storage and management module, a report generation and export module, a user permission and audit module and a training and support module; the data collection and integration module is responsible for collecting clinical data, supports multiple data input modes and equipment integration; the data verification and cleaning module verifies and cleans the collected data, and identifies and processes abnormal data. Through the introduction of a Bayesian network into the data collection and integration module for data consistency and correctness verification, and the use of a Kalman filtering algorithm for equipment data fusion processing, the accuracy and consistency of clinical data are effectively improved, data entry errors are reduced, and a support vector machine algorithm is used in the data verification and cleaning module for abnormal data detection.

The present application relates to the technical field of power grid defect identification, and in particular to an agent-based automated power grid defect identification system. The system comprises: acquiring real-time collected data, analyzing the real-time collected data, obtaining data analysis results, and labeling the real-time collected data according to the data analysis results to obtain label data; based on the D-S evidence theory, classifying the label data according to a preset historical defect map; using a defect identification agent to identify defects in the classified label data, and generating a defect report based on the identification results and feeding it back to the equipment maintenance system. The classified label data directly triggers the defect identification algorithm of the corresponding agent, shortening the communication link of the traditional cross-system data call, which is conducive to reducing the risk of defect escalation caused by handling delays. Automatically generate structured reports to provide a traceable decision basis for the equipment maintenance system and reduce manual transcription errors.

The utility model provides a kind of steel consumption fast measurement auxiliary device, it is related to building engineering technical field, including: operation platform, the operation platform is equipped with mounting bracket on upper side of front side;The operation platform is equipped with two clamping bases on top of rear side, the data of length and diameter measurement is calculated out single steel weight, and according to the steel quantity used in building engineering, total weight of use is quickly and accurately calculated, both avoids the error that possibly occurs when manual transcription, ensures the accuracy of data source, solves that steel consumption measurement is usually scattered as diameter measurement, length measurement, record, calculation and multiple steps such as summary, measurement personnel need to switch back and forth between measurement tool, notebook and calculator, the cumbersome operation steps increase the time of measurement to obtain final result, and frequent transcription can occur data misreading, transcription error.

The application discloses a literature metadata fusion method and system based on double-track decoupling and support degree transmission, and belongs to the technical field of data management and knowledge fusion. The application comprises the following steps: aligning literature metadata from multiple sources based on DOI to form a multi-source candidate text pool; calculating character-level similarity and semantic-level similarity of source text pairs in parallel, and extracting the difference between the two-track similarities as a decoupling feature; automatically determining the data difference into four types of consistent and reliable, transcription error, semantic rewriting or completely different according to the two-track similarities and the difference; and triggering differentiated support transmission strategies for different types. The application can effectively utilize the cognitive bias between models in the double-track architecture, identify and repair the OCR recognition errors and special symbol garbled codes that are difficult to detect by single-track models in multi-source metadata fusion, break the limitations of static priority, and significantly improve the physical purity and adaptive fault tolerance of massive multi-source academic metadata fusion.

The present invention relates to the field of intelligent conference processing technology, and relates to a conference minutes processing method and system using AI, including real-time noise suppression of collected conference audio streams and associated text data through a noise suppression algorithm, and cross-modal alignment of the noise-reduced data using a cross-modal alignment algorithm; inserting domain-specific attention heads into the attention layer of a pre-trained Transformer model to construct a domain-enhanced speech recognition model to convert audio into a text sequence with speaker labels; using a heterogeneous graph neural network to construct a structured topic evolution graph; extracting key decision nodes in the structured topic evolution graph based on a reinforcement learning strategy to generate a final conference summary document. In the decoding stage, the fusion ratio of the acoustic model and the language model is dynamically adjusted based on real-time acoustic confidence, thereby improving the recognition rate of professional vocabulary and effectively reducing the frequent transcription errors and poor semantic coherence of terminology in professional meetings.

The invention discloses an automatic testing and fault reporting system based on FCT. The automatic testing and fault reporting system comprises a central control module, a testing execution module, a data acquisition module, a data storage module, a data analysis module and a report generation and fault reporting module. The whole testing process is controlled in a coordinated mode through the central control module, automation of the whole process from testing execution, data collection, result judgment to record generation and fault declaration is achieved, manual intervention is greatly reduced, and production efficiency is improved; besides, data are automatically collected through an instrument, manual copying errors are avoided, all data are provided with timestamps and bound with specific work orders and product serial numbers, and authenticity and traceability of the data are guaranteed.

The invention discloses an urban rail transit signal plane graph passive beacon and Block section drawing method, and relates to the technical field of urban rail transit signal plane graph equipment automatic drawing, and the method comprises the following steps: S1, automatic kilometer equipment column configuration; s2, initializing the system; s3, classifying, identifying and sorting kilometer posts of existing equipment; s4, track objects are obtained and classified; s5, automatically drawing a passive beacon and a Block section; and S6, storing and prompting. According to the method, artificial transcription errors are eliminated through real-time data interaction between the VBA and the CAD interface; a linear interpolation algorithm and a coordinate dynamic matching technology ensure the equipment position and mileage precision. According to the method, the design adaptability in a complex scene is remarkably improved based on automatic classification of track types and beacon attribution judgment logic. According to the method, a map library is predefined and a map layer management mechanism is unified, so that drawing formats and labeling rules output by different designers are ensured to be completely consistent, and the communication cost of later construction and maintenance is reduced.

The application relates to a customized commodity return data construction method and device, equipment and medium, relates to the technical field of computer data processing, and can be applied to the fields of finance and medicine, and comprises the following steps: extracting structured commodity information of commodity table data uploaded by a user based on a customized commodity information table template, creating a customized commodity according to the commodity information, executing automatic shelving or unshelving operations of the customized commodity, and setting corresponding commodity inventories; reading commodity information of the imported customized commodity, assembling the commodity information into specific request parameters, and sending the request parameters to corresponding internal and external systems to complete automatic return of the commodity information. According to the application, the manual chain operation is reduced, the overall time is shortened, the work efficiency is improved, the probability of problems such as data entry errors and configuration omissions is reduced, a large amount of time consumed by repeated problem checking is avoided, and the overall work efficiency is further improved.

A power grid line loss real-time monitoring device and its detection system belong to the technical field of power grid line loss monitoring. In order to solve the problem that the existing line loss analysis lacks real-time, comprehensiveness and accuracy, and cannot correctly evaluate the loss; the existing personnel cannot timely find the problems existing in line loss management, such as metering device error, collection error, transcription error, electricity stealing and the like, resulting in a large work intensity of the management personnel. The numerical value is compared with the set parameter, a warning alarm is sent out when the actual numerical value exceeds the set threshold, the numerical value monitoring efficiency is improved, the warning is effectively given according to the numerical value comparison, the line loss troubleshooting efficiency is improved, the cost of multi-party troubleshooting is reduced, various communications are used, the corresponding communication mode is selected according to the needs of different areas, the communication quality is effectively improved, the line loss situation is effectively understood, the line loss is intuitively and clearly understood through various chart modes, and the processing efficiency is improved.

Provided are a method and device for detecting transcription error in a speech recognition corpus. The method of detecting a transcription error in speech recognition corpus includes following steps: (a) receiving the speech recognition corpus including a speech file and a text label for the speech file; (b) performing speech recognition on the speech file of the speech recognition corpus using a speech recognition model and converting the speech recognition result into text; (c) extracting a performance evaluation index of the speech recognition model; (d) extracting a PPL(s2) for the text label and a PPL(s1) for the text using a language model; and (e) detecting a transcription error in text label of the speech recognition corpus using the extracted performance evaluation index and the PPL(s2) and PPL(s1).

This invention discloses an instant verification system, instant verification method, and instant verification device, relating to the field of product anti-counterfeiting verification technology. The instant verification system includes a host, consumables, and a server. The generation and burning of unique verification data are concentrated when the consumables are used for the first time. First, when the consumables establish a connection with the host, the host reads the key stored in the consumables. Then, after verifying the validity of the key, the host requests the unique verification data from the server. After the server returns the unique verification data, the host writes the unique verification data into the consumables in real time. Therefore, it eliminates the steps of pre-burning unique verification data and synchronously uploading to the database in the production process, effectively solving the problems of cumbersome manufacturing processes, low production efficiency, and easy data entry errors caused by the multiple operations of data burning, database uploading, and data re-inspection required by traditional verification systems at the production end. This also solves the technical problem of cumbersome manufacturing processes for verification devices.

Systems and methods for identify errors in a transcript using an LLM. System comprises a digital front end; a backend computer system in communication with the digital front end; and a LLM in communication with the backend computer system. The LLM is configured to receive, via the digital front end: a list of words and phrases; a list of error categories; and a transcript, in a machine-readable format, for transcript correction by the LLM. The LLM is configured, via prompts: to consider a word or phrase in the transcript to possibly be in error if the word or phrase matches one error category in the list of error categories and if the word or phrase is phonetically similar to a word or phrase in the list of correct words and phrases; to assign a confidence score to each word or phrase considered to possibly be in error in the transcript; to ignore words or phrases considered possibly in error if the assigned confidence score is lower than a certain threshold value; and return a list of possible errors in the transcript in a machine-readable transcription error output format. The LLM is further configured, based on the prompts, to generate the list of possible errors in the transcript in the machine-readable transcription error output format.

The invention discloses a firewall policy migration method and device, a medium and a product, which are applied to the field of financial science and technology, and comprise the following steps: when a node migration event of an application arrangement platform is monitored, obtaining a node identifier; pulling an original firewall policy from the source environment associated firewall based on the source node identifier, and converting the original firewall policy into policy elements based on the target node identifier; and performing conflict detection and optimization on the policy elements, generating a general policy model, and configuring a target firewall based on the general policy model. By obtaining the node identifier, the time consumed by manual positioning is reduced, and the migration efficiency is improved. By converting strategy elements, the problems of transcription errors and neglect of strategy contexts are avoided, and the conversion accuracy is guaranteed. The strategy elements are optimized to generate a general model, conflict problems are handled in advance, and service interruption and security vulnerabilities are avoided. The target firewall is configured based on the general model, manual adaptation of different firewall grammar is not needed, configuration errors are avoided, and rapid deployment of strategies is ensured.

The technology provides an approach to train translation models that are robust to transcription errors and punctuation errors. The approach includes introducing errors from actual automatic speech recognition and automatic punctuation systems into the source side of the machine translation training data. A method for training a machine translation model includes performing automatic speech recognition on input source audio to generate a system transcript. The method aligns a human transcript of the source audio to the system transcript, including projecting system segmentation onto the human transcript. Then the method performs segment robustness training of a machine translation model according to the aligned human and system transcripts, and performs system robustness training of the machine translation model, e.g., by injecting token errors into training data.

The invention relates to the technical field of data acquisition, in particular to a drilling geological data extraction method based on an intelligent agent, which comprises the following steps: S1, inputting a document through a document access module; s2, analyzing elements in the document into a JSON (JavaScript Object Notation) data stream containing a text / table / image through a document analysis engine; s3, analyzing the JSON data flow through an intelligent agent processing core, and identifying and extracting key information items related to drilling geology; s4, associating, integrating and packaging the extracted key information items through a structured data output module according to a predefined drilling geological semantic model and a data structure rule to generate standardized structured geological data; and S5, transmitting the standardized structured geological data to a target system through a data interface. Efficiency and accuracy: manual processing work of several hours is shortened to a minute level, transcription errors are avoided, and the efficiency and reliability of drilling scheme design are remarkably improved.

The application provides a voice question and answer method and device, electronic equipment and storage medium, wherein the method comprises the following steps: determining a question voice; performing text error correction based on the transcription text of the question voice to obtain a corrected text; performing feature extraction on the corrected text and the question voice respectively to obtain text features and voice features; fusing the text features and the voice features based on the correlation between the text features and the voice features to obtain question fusion features; and matching the question fusion features with candidate question fusion features of each candidate question, and determining the answer corresponding to the candidate question that matches successfully as the answer of the question voice. Through explicit error correction of the transcription text and fault tolerance processing at the feature level in the feature fusion process, the negative influence of transcription errors in the transcription text on the downstream question and answer task is minimized, the defect that the voice question and answer effect in the traditional scheme is poor in the vertical field is overcome, and the accuracy of the voice question and answer is greatly improved.

The invention provides an intelligent weighing method and device for an unattended wagon balance. The method and device are applied to full-process automatic management of power plant materials and solid wastes. The system takes an IC card or a two-dimensional code as an information carrier, integrates a material planning module, an access control module, a card issuing and writing module, a weighing and metering module, a vehicle guiding module, a self-service ticket printing module and the like, and constructs a unified intelligent one-card logistics platform. Through a front-end unattended unified entrance architecture, flexible configuration and process jump of service nodes are supported; hardware equipment parameters are dynamically loaded by a database, so that the maintainability is improved; the front-end program is automatically upgraded when being started, so that the version consistency is guaranteed; meanwhile, high-definition camera snapshot and video license plate recognition technologies are combined, images are uploaded to a server in real time, and whole-process mark leaving and anti-cheating supervision are achieved. According to the invention, the weighing efficiency is significantly improved, the labor cost and data entry errors are reduced, cheating behaviors such as' 'wool passing of a cart and skin returning of a trolley '' are effectively prevented, and intelligentization and standardization of power plant material management are comprehensively supported.