268 results about "Pinyin" patented technology

The invention relates to the technical field of speech synthesis, can be applied to business scenes such as financial science and technology, medical health and the like, and discloses a speech generation method, device, equipment and medium. And inputting a text speech language model to generate an intermediate code in combination with a speech code extracted based on a codebook generation mode, extracting a speaker feature vector in the prompt speech, decoding the intermediate code and the speaker feature vector by a generative adversarial decoder, and outputting a target speech. According to the method, fine-grained text representation is established by fusing character semantics and pinyin pronunciation information, and voice cloning is completed through unified voice language modeling and an adversarial generation mechanism in combination with codebook-driven acoustic coding and speaker personality characteristics, so that the naturalness, similarity and pronunciation accuracy of generated voices are improved.

The invention discloses a traffic domain service voice adaptive generation method and system based on a thinking chain fine-tuning large model, and the method comprises the steps: converting an input voice signal into a high-dimensional voice feature signal through a voice encoder, and generating a text output signal according to the high-dimensional voice feature signal through a text decoder and a pinyin decoder; according to the invention, a variational de-quantization joint data enhancement mechanism, a dual-channel multi-mode discriminator architecture and a layered composite loss function are adopted to carry out high-fidelity emotional speech generation and robustness synthesis in a complex noise environment, and semantic-driven dynamic rhythm optimization and professional term precise pronunciation are synchronously supported; in an application scene in the traffic field, a multi-task speech recognition method can be adopted to realize efficient linkage of character-level recognition, audio-to-pinyin conversion and sentence-level accent classification modules, so that complex accent, more noise and traffic term polyphone challenges are effectively handled, and the method is suitable for being widely popularized and used.

The invention relates to the technical field of network security and data processing, and discloses a violation short message recognition method and system based on deep semantic understanding, and the method comprises the steps: firstly cleaning an original short message, generating a mixed embedding vector through characters, sub-words and pinyin, and carrying out the recognition of the violation short message; then processing through a double-layer detection engine, wherein the first layer utilizes rules and a lightweight model for rapid preliminary screening; in the second layer, for suspected samples, a double-tower fusion neural network architecture is adopted, local and global features are combined, fusion is carried out through a gating unit, and a large language model is input to carry out deep semantic reasoning. The system executes strategies such as interception or flow limiting according to the risk score, and realizes model iteration through a dynamic knowledge base and incremental learning. According to the method, the resource consumption and the detection precision are balanced through the layered architecture, the antagonistic variants are effectively identified by utilizing multi-dimensional feature fusion, and the method has the adaptive evolution capability for a novel violation mode.

The invention discloses a short message identification method and device, a nonvolatile storage medium and electronic equipment. The method comprises the following steps: acquiring a short message to be identified; a pre-trained short message classifier is adopted to perform feature extraction on the to-be-recognized short message to obtain multi-dimensional features, the multi-dimensional features at least comprise one of font features, pinyin features and semantic features, the font features are used for representing structures of characters in the to-be-recognized short message, the pinyin features are used for representing pronunciation of the characters in the recognized short message, and the semantic features are used for representing semantic features of the characters in the recognized short message; the semantic features are used for representing the meaning of the to-be-recognized short message; fusing the multi-dimensional features to obtain fused features; and identifying the fusion features by adopting a short message classifier to obtain the type of the short message to be identified. The technical problem that the short message recognition accuracy is low is solved.

The invention discloses a large model-based finance and tax question and answer sensitive information identification method and system, and the method comprises the steps: obtaining finance and tax question data, and carrying out the processing of the obtained finance and tax question data; key prohibited word detection is carried out on the processed finance and tax question data through an established Chinese pinyin sensitive word Trie tree; when it is judged that no key forbidden word exists in the finance and taxation question data, detecting violation sensitive words through violation semantics in a trained finance and taxation large model; and when no violation sensitive word is detected in the output of the large finance and taxation model, outputting the finance and taxation question data to a normal question and answer system. According to the method, finance and taxation violation oriented questions and answers are screened through the finance and taxation large model obtained through training, the Chinese pinyin sensitive word Trie tree is constructed, the detection effect is improved by training the semantic comprehension ability of the large model, and sensitive text recognition is achieved.

The invention relates to the technical field of power system dispatching and maintenance management, discloses a word vector optimization equipment name intelligent matching method based on an equipment knowledge graph, and aims to solve the problem of low matching precision caused by nonstandard naming, OCR recognition errors and semantic ambiguity of power distribution network equipment names. The method comprises the following steps: constructing an equipment knowledge graph containing a triple structure; corpora are generated based on the atlas, a Word2Vec model is adopted to train equipment word vectors, and semantic features are captured; calculating the character similarity through the editing distance and the pinyin similarity; using word vector cosine similarity to match semantic association; and carrying out weighted fusion on the character and semantic similarity, and dynamically judging a matching result. According to the method, through multi-modal similarity fusion and knowledge reasoning, the matching accuracy can be improved, naming regionalization, abbreviation and topological association problems are effectively processed, scheduling instruction analysis, maintenance data standardization and cross-system data management are supported, and reliable technical support is provided for intelligent management of a power grid.

The invention relates to the technical field of Chinese braille text intelligent conversion, and discloses a deep learning-based Chinese braille text intelligent conversion system, which comprises an input module, an image processing module, a data set construction and preprocessing module, a model training and optimizing module, an output processing module and a text conversion module, handwritten braille alphabets are recognized through mobile phone photographing, and the image processing module comprises image inclination correction and sharpening and braille alphabet image segmentation. The method comprises the following steps of: identifying by using a two-party model, leaving a part with confidence higher than a certain value, identifying the rest part by using a one-party model, leaving a part with confidence higher than a certain value, arranging the two parts according to a pixel sequence to form a format suitable for LLM input, and generating corresponding text representation; the problem that Chinese braille symbols are not in one-to-one correspondence with initial consonants and final consonants is avoided, conversion from Chinese pinyin to Chinese texts is achieved in combination with a large language model, and the error-tolerant rate of large language model translation to original texts is high.

The invention relates to the technical field of input methods, in particular to a full-hybrid input method for Chinese and English input. During initial full-mixed input, after a letter is input into a first key of each word, a background algorithm passes through full spelling, binary spelling and pinyin and two-key shape code letter input channels; after the first key of each word inputs a note isolation, a background algorithm passes through a simple spelling input channel at a time; after the English comma is input into the first key of each word, a background algorithm passes through a full-shape code input channel at a time; after a decimal point is input into the first key of each word, a background algorithm passes through an English input channel once; for single input of various input methods, after needed characters and words are submitted, the input is automatically returned to the initial fully-mixed input; and in a full-spelling and binary-spelling five-sound display mode, inputting a note insulation, inputting a background algorithm through a pinyin and two-key shape code alphabet input channel at a time, inputting pinyin and two-key shape code alphabet at a time, and automatically returning to initial full-mixed input after required words are submitted.

The invention provides a method and equipment for analyzing adverse event information of a clinical test. The method comprises the following steps: acquiring audio information of a target object; outputting a corresponding pinyin sequence based on the audio information by using a pre-trained speech recognition model; performing text prediction on the pinyin sequence to obtain an output text; in response to the fact that the knowledge-enhanced large language model is utilized to determine that an adverse event exists in the output text, key information in the output text is extracted; performing named entity identification based on the key information to obtain name information, time information and degree information in the key information; and constructing adverse event information based on the name information, the time information and the degree information. By implementing the method and the device, the analysis processing can be automatically performed according to the description of the target object to obtain the corresponding adverse event information, compared with manual processing, the speed is higher, the method and the device are not interfered by clinical environments or other factors, and analysis tasks can be efficiently completed in batches.

The invention discloses an emotion category determination method and device, equipment, a storage medium and a product. The method comprises the following steps: acquiring audio data; extracting an MFCC feature of the audio data and a first feature of a pinyin syllable; converting the audio data into a text, and determining an intonation embedding feature of each word in the text, and a word embedding feature, a position embedding feature and a segment embedding feature of the text; fusing the MFCC feature, the first feature, the intonation embedding feature, the character embedding feature, the position embedding feature and the segment embedding feature to obtain a second feature; and inputting the second feature into an emotion recognition model, and determining a target emotion category corresponding to the second feature according to relationship information between a preset feature and a preset emotion category in the emotion recognition model. Various features such as voice features, text features, intonation features and tone features based on human auditory characteristics are fused, and the accuracy of determining the emotion category of the audio data is improved.

According to the method, a Chinese dialect English speech corpus covering multiple regions and multiple dimensional variables is constructed, the influence of Chinese dialect phoneme migration on speech parameter differences is deeply analyzed, and a Fujissaki model, a pinyin phoneme theory and a hidden Markov model (HMM) are creatively fused; high-precision automatic speech recognition (ASR), high-naturalness speech synthesis (TTS) and intelligent pronunciation correction of Chinese dialect English are realized. The method is suitable for the application fields of domestic English education, cross-regional multi-language interaction, intelligent voice assistants and the like, and effectively solves the problems of low recognition rate, separation of synthetic voice and actual accent and the like when a traditional system processes Chinese dialect English.

The invention provides a pinyin decoding input method, an embedded system and a storage medium. The method comprises the following steps: constructing a hierarchical code table index database; obtaining a pinyin character string input by a user, and determining a first index of the pinyin character string in the initial index layer according to the initial of the pinyin character string; calculating a Hash value of the pinyin character string by using a Hash algorithm, and obtaining a second index corresponding to the Hash value in a Hash table; searching in the pinyin data block according to the second index to obtain a pointer corresponding to the pinyin character string; and matching in the word data layer by using the pointer to obtain corresponding word data. According to the method, the memory pressure of the embedded system is reduced, the three-layer index structure of the hierarchical code table index database is utilized, and the optimized hash search algorithm is adopted to accelerate data access, so that high-precision matching and quick positioning are realized in an embedded environment.

The invention discloses a text-to-instruction system based on fuzzy pinyin matching and parameter robust analysis. The text-to-instruction system comprises an input preprocessing module, a text-to-instruction conversion module and a text-to-instruction conversion module, the fuzzy pinyin matching module is used for uniformly transferring the standardized text and a pre-stored instruction template into a silent pinyin sequence, and constructing a weighted editing distance matrix based on a preset pinyin character replacement cost; the parameter alignment search module is used for executing beam search on the weighted editing distance matrix and outputting a plurality of candidate matching paths with the minimum cost and a corresponding parameter fragment set; the parameter robust distribution module is used for performing legality and consistency checking on parameters in the candidate matching paths, completing parameter standardization and performing error correction in combination with a parameter candidate dictionary; the instruction output module is used for encoding the template identifier and the parameter key value pair obtained through robust distribution into a structured instruction and outputting the structured instruction; according to the method, text-to-instruction conversion can be completed in real time.

A storage format of Chinese language (“Readable Hanyu Expression” or “RHE”) and the related processing methods and systems. Unlike current Chinese processing methods which directly code Chinese characters into fonts for display, RHE takes an indirect approach by storing Chinese language in the RHE storage format that can be mapped to several display forms including simplified and traditional Chinese characters, Hanyu Pinyin, etc. In the RHE storage format, each Chinese word is stored as an RHE storage element having the format (Syllable+Tone)n+Mark, where n is the number of syllables (Chinese characters) in the word, Syllable represents the pronunciation (without the tone) of the character, Tone represents the tone of the pronunciation, and Mark is a value that differentiates different words having the same pronunciations and tones. Various mapping tables are used to map RHE storage elements to standard Chinese character codes (such as Unicode) and Pinyin expressions.

The application discloses a character input method and device, electronic equipment and a storage medium, and belongs to the technical field of electronic equipment. The method comprises the following steps: receiving a first input for inputting a word group pinyin in an input method keyboard; in response to the first input, displaying at least one word group unit corresponding to the word group pinyin, each word group unit comprising at least one candidate word; in response to a second input for selecting a target word group unit from the at least one word group unit, displaying the target word group unit in a text input area corresponding to the input method keyboard.

The invention discloses a commodity order information intelligent identification method based on natural language processing, and belongs to the technical field of natural language processing. Aiming at the problem of low recognition accuracy of unstructured text order information, the invention provides an intelligent recognition method. The method comprises the following steps: receiving an unstructured text; preprocessing, including conversion from traditional Chinese characters to simplified Chinese characters, space removal and keyword filtering; commodity names are extracted by adopting accurate matching and pinyin fuzzy matching; extracting numbers and quantity identifiers; analyzing the number of each commodity, including processing the expression of each character, the expression of a direct number, the expression of a negative number and the expression of 0; and outputting the structured order information. In addition, the method can also process agency orders and serial number orders, identifies commodity name variants through a sliding window technology and Pinyin similarity calculation, improves order processing efficiency, enhances the capability of processing complex expressions, reduces labor cost, and improves user experience.

The invention relates to the technical field of data processing, in particular to a data information storage method and system for an online Chinese language learning platform. The method comprises the following steps: obtaining platform user interaction data, and carrying out pinyin input track analysis and Chinese character component structure coding to obtain a pinyin alignment input frame; extracting a pinyin-Chinese character mapping relation in the pinyin alignment input frame, and performing Chinese character structure path reconstruction to obtain a user input word structure path set; learning content data are called, multi-modal content node embedding is carried out, and a content linkage fragment cluster is obtained; constructing a single session learning topology track according to the content linkage fragment cluster, and performing bidirectional topology sorting to obtain a learning track topological graph; and establishing a multi-dimensional primary key index and behavior triggering mechanism for the learning track topological graph to obtain a dynamic index distribution block, and transmitting the dynamic index distribution block to an online Chinese language learning platform. According to the invention, the stability and expansibility of the learning platform are obviously improved.

1. Name of the Design Product: Language, Math and English Enlightenment Learning Machine. 2. Use of the Design Product: Mainly applicable to preschool children and primary school students for learning pinyin, Chinese characters, English, mathematics, and training logical thinking, etc. It consists of a key panel, a display screen, a key film, paper cards (which can be freely replaced infinitely), a middle frame, a bottom shell, speakers, an electronic circuit, a battery, a camera, a recording microphone, etc. Users can freely replace the learning cards. 3. Design Key Points of the Design Product: Lies in the front view. 4. Picture or Photo that Best Illustrates the Design Key Points: Front view.

A storage format of Chinese language (“Readable Hanyu Expression” or “RHE”) and the related processing methods and systems. Unlike current Chinese processing methods which directly code Chinese characters into fonts for display, RHE takes an indirect approach by storing Chinese language in the RHE storage format that can be mapped to several display forms including simplified and traditional Chinese characters, Hanyu Pinyin, etc. In the RHE storage format, each Chinese word is stored as an RHE storage element having the format (Syllable+Tone)n+Mark, where n is the number of syllables (Chinese characters) in the word, Syllable represents the pronunciation (without the tone) of the character, Tone represents the tone of the pronunciation, and Mark is a value that differentiates different words having the same pronunciations and tones. Various mapping tables are used to map RHE storage elements to standard Chinese character codes (such as Unicode) and Pinyin expressions.

The application provides a sentence processing method and device and electronic equipment. After voice data is converted into a text form of a sentence through automatic speech recognition, the sentence is further split into multiple processing parts, and an entity term included in the sentence is fuzzily queried according to pinyin of the multiple processing parts to obtain an entity term corresponding to the processing part in an entity index. When the text of the processing part is different from the entity term, the processing part in the sentence is replaced by the entity term, so that the text of the entity term in the sentence is correct, and the command of the sentence can be accurately determined through natural language understanding in the subsequent process, the command indicated by the user is finally accurately executed, and the user experience of the electronic equipment is improved.

1. Name of the designed product: Pinyin machine. 2. Use of the designed product: Pinyin learning machine. 3. Design points of the designed product: in shape. 4. Picture or photo that best indicates the design points: perspective view.

The utility model discloses an alphabetical keyboard for Chinese teaching, which comprises a keyboard main body, a pressing plate and a chip, the side wall of the keyboard main body is provided with alphabetical key positions, the alphabetical key positions are provided with single vowel key boards, the top of each single vowel key board is provided with an X-shaped groove, the X-shaped groove is internally provided with a movable groove, and the movable groove is provided with a through hole. A movable groove is formed in the top of the pressing plate, a tone electric contact is arranged in the movable groove, a movable column is arranged in the X-shaped groove, a first reset spring is arranged on the inner wall of the X-shaped groove, a column body extending into the X-shaped groove is arranged at the bottom of the pressing plate, a universal head is arranged at the bottom of the column body, and a light-sound electric contact is arranged at the top of the chip. The chip is electrically connected with the tone electric contacts through signal lines respectively, a second reset spring is arranged at the top of the chip, and the top of the second reset spring is fixedly connected with the base of the universal joint. According to the utility model, the tone of pinyin of a Chinese character can be directly observed, and the corresponding tone of the Chinese character can be learned.

The invention provides a Chinese character encoding and decoding method and system based on pinyin and Chinese character characteristics, and the method comprises the steps: generating a corresponding initial brevity code according to a triggered first position on a keyboard when the state of the keyboard is a first state; when the keyboard state is a second state, generating a corresponding simple final code according to a triggered second position, a triggered third position and a triggering sequence on the keyboard; in any keyboard state, if the currently triggered fourth position belongs to the auxiliary input area in the keyboard, generating a corresponding Chinese character starting code, and switching the keyboard state to the auxiliary input state; when the keyboard state is an auxiliary input state, generating a corresponding Chinese character feature code according to a triggered fifth position in the auxiliary input area; according to the code generation sequence, the generated initial consonant brevity codes, the final brevity codes, the Chinese character start codes and the Chinese character feature codes are combined to construct the Chinese character codes, and the matching precision of the codes and the Chinese characters and the input experience of a user are improved.

This invention discloses a PCFG password strength evaluation method incorporating Pinyin patterns. The steps include: 1) extracting Pinyin patterns from a benchmark dataset and generating corresponding rule sets; 2) sequentially selecting rules from the rule set according to probability and generating corresponding passwords based on the probability of the terminal symbols in the patterns contained in the rules; 3) determining whether the currently generated password matches the corresponding user's password. If not, proceeding to step 2) changing the terminal symbols corresponding to the pattern and generating the password again. If all terminal symbols in the patterns contained in the rule have been exhausted, changing the rule and continuing to generate passwords; 4) when the password matches the corresponding user's password, determining the password strength of the corresponding user's password based on the number of rule changes. This invention significantly improves the effectiveness of password strength evaluation for passwords containing Pinyin, providing a more scientific evaluation method for user password security.

This application discloses an input recommendation method, apparatus, electronic device, and storage medium. The method includes: acquiring an input pinyin string and determining the number of preset words matched by the pinyin string in a preset word library; if the number does not exceed a preset threshold, performing word grouping processing on the pinyin string based on the preset word library to obtain a candidate word set; inputting the pinyin string into a syllable segmentation network for syllable segmentation processing to obtain a predicted syllable sequence corresponding to the pinyin string, wherein the syllable segmentation network extracts features for syllable segmentation processing from the pinyin string based on a lightweight convolutional module; inputting the predicted syllable sequence into a word prediction network for word prediction to obtain a predicted word set; and outputting recommended words based on the candidate word set and the predicted word set. This application improves the accuracy and efficiency of input recommendation and is highly suitable for input method recommendation on low-resource devices (such as smartphones).

The present application relates to the technical field of electronic digital data processing, and discloses a four-level index pinyin bucket word library generation method, acquires a Chinese word library text, extracts the first Chinese character and the first pinyin of each line of words as a classification key, and generates a triple; the triple is classified into a corresponding pinyin bucket according to the pinyin, the words in the bucket are sorted in descending order of word frequency, an independent Chinese character block is generated for each unique Chinese character, and the words are solidified according to the word length by using a first character multiplexing mechanism; a four-level static index of an initial letter statistical area and a pinyin index area and a Chinese character word index area and a word storage area is sequentially constructed, each index area uses fixed-length entries and absolute offset addressing; a metadata area containing a file length double-semantic field is constructed, a high-frequency-first deterministic truncation is performed on the word library according to a preset threshold, each data area is spliced and a data integrity check value is appended, and an embedded binary word library is generated. The problems of high storage redundancy and uncontrollable memory are solved, and the purposes of deterministic analysis, resource adaptation and high security are achieved.

The invention relates to the technical field of voice data processing, in particular to a video voice recognition method and system for illegal short videos, and the method comprises the steps: obtaining a prohibited lexicon and a to-be-detected video, and converting Chinese characters in the prohibited lexicon and the to-be-detected video into pinyin character strings which do not contain tones; the step of comparing each to-be-detected Chinese character with each forbidden word in the forbidden word bank is as follows: determining the similar weight of the forbidden word of each to-be-detected Chinese character; analyzing the closeness degree of serial numbers of the most similar Chinese characters in the forbidden words of the to-be-detected Chinese characters and the adjacent Chinese characters based on the pinyin character strings, and determining forbidden word matching values of the to-be-detected Chinese characters in combination with the forbidden word similar weights; judging whether each to-be-detected Chinese character is a prohibited Chinese character or not based on the distribution condition of the prohibited word matching value of each to-be-detected Chinese character and the adjacent Chinese character; and taking the to-be-detected video with the prohibited Chinese characters as a violation video. The invention aims to improve the detection accuracy and efficiency of illegal short videos.

The invention relates to the field of computer text sentiment analysis, in particular to a knowledge enhancement implicit sentiment analysis method, device and equipment based on ChineseBERT. The method comprises the steps of obtaining target text information; the target text information is composed of one or more target sentences; an improved ChineseBERT model is adopted to extract position embedding, character embedding, font embedding and pinyin embedding from the target sentence, and target sentence embedding representation is obtained; the font embedding is determined by radicals and components of each character of the target sentence; extracting knowledge entity vectors from the target sentences by adopting a pre-trained knowledge base to obtain knowledge base representation of the target sentences; according to the target sentence embedding representation and the target sentence knowledge base representation, obtaining an emotion label category of the target sentence; the emotion label category of the target sentence is the target emotion of the target user about the target theme. According to the method, the web text sentiment classification accuracy can be effectively improved.

The invention discloses a semantic analysis method for voice in a crowded environment. The method comprises the following steps: acquiring voice signal data and lip movement video stream data of a target user; extracting a lip motion feature sequence, and mapping the lip motion feature sequence into a predicted speech feature vector; inputting a voiceprint separation model, separating a voice segment of a target user from the mixed voice signal, and generating pure voice data features; performing time domain segmentation on the pure voice data features to obtain a voice signal time domain waveform of a single character; matching the single character voice signal time domain waveform with an initial consonant and vowel time domain waveform library to obtain pinyin expression corresponding to each character; and carrying out tone combination correlation analysis on the pinyin expressions of the continuous single characters to obtain the meaning of the voice segment of the target user. The method has the advantages that the voice of the target user is effectively extracted by combining the lip movement video stream and the voice signal data and utilizing the deep learning and voiceprint separation technology, and the voice recognition accuracy in the noisy environment is remarkably improved.

The application provides an information retrieval prompting method and device, electronic equipment and a storage medium, the method comprising: preprocessing device retrieval information input by a user to determine a retrieval keyword; sequentially matching the retrieval keyword with a prompt word library, a synonym library and a pinyin word library to obtain multiple prompt information corresponding to the device retrieval information; the prompt word library is constructed based on attribute information of various devices, the synonym library is constructed based on synonymous words corresponding to the attribute information of various devices, and the pinyin word library is determined based on the prompt word library; and the multiple prompt information is sent to a front end for display. The application can provide accurate retrieval prompt information for a user, help the user quickly and effectively retrieve attribute information of an Internet of Things device of interest, improve the multi-dimensional prompting and accurate retrieval capability of the Internet of Things device, and provide a good user experience.