808 results about "Transformation systems" patented technology

The invention relates to the technical field of adaptive control, in particular to an adaptive control method and system for a power conversion system driven by a multi-mode neural network. The method comprises the following steps: extracting a high-order transient feature vector of a load path and a high-order transient feature vector of a voltage path based on a dual-path nonlinear coupling model, and jointly inputting the high-order transient feature vector and the high-order transient feature vector into a multi-modal neural network in combination with an aging index of a power supply for feature fusion to generate an initial switching frequency demand currently required by the power supply; evaluating the heat dissipation capability, inputting the heat dissipation capability into a preset heat dissipation capability three-state model to determine a heat dissipation state, performing temperature compensation and amplitude limiting processing on the initial switching frequency demand, and outputting the corrected switching frequency demand; according to the method and system, the frequency range can be dynamically adjusted according to the real-time heat dissipation capacity, overheating is avoided when heat dissipation is insufficient, efficient operation is kept when heat dissipation is sufficient, the magnetic saturation risk can be restrained in an emergency state, and frequency out-of-control is avoided.

The present application is directed towards systems and methods for cluster-based code analysis and transformation. Cluster-based analysis may group code objects based on their similarity across functional areas, such as where a code object is cloned in multiple areas (e.g. sort functions that are duplicated across areas, or reports or tables that are identical). In some implementations, objects may be grouped into clusters by type, or based on reading from or writing to a common table. In some implementations, clustering at different layers may be possible.

The invention discloses a high-voltage integration and cooperative control method and system for an energy storage system, and the method comprises the steps: carrying out the three-dimensional space coupling design of a high-voltage box and a power conversion system PCS through a topological optimization algorithm according to the power level and heat distribution demands of the energy storage system, and generating a physical layer architecture scheme of a high-voltage all-in-one machine; based on a physical layer architecture scheme of the high-voltage all-in-one machine, constructing a collaborative optimization data set by using a timestamp alignment technology; inputting the collaborative optimization data set into a model predictive control framework to generate dynamically adjusted PCS working parameters; and according to the PCS working parameters, the internal temperature distribution of the high-voltage all-in-one machine is calculated in real time through the three-dimensional thermal field reconstruction model, the rotating speed of a cooling fan and the switching frequency of a power device are dynamically adjusted, and a cooperative control instruction is generated. According to the embodiment of the invention, the integration level and the cooperative control capability of the high-voltage energy storage system can be improved, and the efficient and stable operation of the energy storage system is realized.

A system and method for real-time or near real-time multilingual language transformation in telecommunications environments using distributed artificial intelligence (Al). The system includes at least one processor configured to instantiate a plurality of Al agents, each corresponding to a user in a communication session, and to manage their operation via an Al-agent runtime adapter comprising a microkernel agent manager and a virtual machine layer. A language model abstraction layer enables access to language models and Al algorithm libraries through publish-subscribe interfaces. The system supports contextual transformation of speech based on user profile data such as sentiment, emotional tone, and cultural background. Execution can occur on telecommunication-class switches, edge devices, or general-purpose computing hardware. Al agents operate asynchronously, access shared or private memory, and produce personalized, bidirectional linguistic output. The architecture supports secure, scalable deployment across heterogeneous devices and networks.

The invention discloses an endogenous tRNA (transfer ribonucleic acid) promoter. The nucleotide sequence of the endogenous tRNA promoter is shown as SEQ ID NO: 1; an expression cassette containing the endogenous tRNA promoter and a recombinant vector; the invention also relates to application of the endogenous tRNA promoter, the expression cassette or the recombinant vector in thraustochytriaceae microorganism gene editing, and a thraustochytriaceae microorganism gene editing method. The CRISPR / Cas9 gene editing system based on the endogenous tRNA promoter is successfully established, convenient, rapid and efficient fixed-point editing in thraustochytriaceae microorganisms is achieved, and the CRISPR / Cas9 gene editing system has high application value; a transformation system for screening the recombinant thraustochytriaceae microorganisms by using sodium acetate as an auxotroph is established, the transformation screening efficiency of the recombinant thraustochytriaceae microorganisms obtained based on an agrobacterium transformation method is remarkably improved, and rapid gene editing is assisted.

The invention provides an intelligent gas pipe network transformation method and system based on the supervision Internet of Things and a medium, and relates to the field of pipe network transformation, the method is executed by a gas company management platform of the intelligent gas pipe network transformation system based on the supervision Internet of Things, and the method comprises the following steps: through a gas company sensing network platform, from an intelligent gas equipment object platform, a gas supply network is established; acquiring gas monitoring data; acquiring historical fault data through the gas database, and determining transformation strategy parameters based on the historical fault data and the gas monitoring data; and on the basis of the transformation strategy parameters, generating a regulation and control instruction, and sending the regulation and control instruction to an intelligent gas equipment object platform through a gas company sensing network platform so as to regulate and control monitoring parameters of gas monitoring equipment of the intelligent gas equipment object platform. The use state of the gas pipeline can be accurately monitored in real time, so that the pipeline needing to be transformed can be found and effectively treated in time, and the overall safety performance of the gas pipeline is remarkably improved.

Systems and methods are disclosed comprising techniques for record-to-event conversion, such as retrieving at least one alphanumeric record associated with a monitored digital communication transmitted among two or more users, generating a time-enumerated data structure that stores an event entry set for the monitored digital communication, selectively identifying at least one discrete event for the monitored digital communication, generating one or more relevance scores for the at least one discrete event, identifying at least one valid discrete event from the at least one discrete event, generating an event attribute set for the at least one valid discrete event, updating the normalized event attribute set for a new event entry within the event entry set of the time-enumerated data structure, and transmitting the updated time-enumerated data structure within an elapsed duration after retrieving the at least one alphanumeric record.

The invention discloses a code conversion system and method, electronic equipment and a storage medium, and belongs to the technical field of artificial intelligence, and the code conversion system comprises a project input module which is used for obtaining a code engineering project containing a project file, and the code engineering project is written by a first programming language; the data preprocessing module is used for creating a knowledge base corresponding to a code engineering project and splitting a project file into a plurality of split texts; the function analysis module is used for determining a function list of the code engineering project according to the knowledge base, the split text and the first programming language, and the function list comprises a plurality of functions achieved by the code engineering project and calling relations among the functions; and the code conversion output module is used for generating a target conversion code corresponding to the code engineering project according to the function list and the second programming language, so that reliable conversion of any project-level code of any programming language can be realized, and the code conversion effect is relatively good.

The invention discloses an insulation fault edge self-healing method and device for a power conversion system, and belongs to the technical field of fault diagnosis and automatic maintenance of power electronic equipment, and the method comprises the steps: obtaining multi-modal sensing data, synchronously collected by a multi-modal sensor array, of the power conversion system; a preset lightweight CNN-Transform hybrid model is used to process the multi-modal sensing data, and a feature vector of each modal is obtained; fusing each modal feature vector by adopting a dynamic weight attention mechanism to obtain a fused fault feature vector; classifying the fused fault feature vectors based on a fault classifier, and determining a fault level; and according to the determined fault level, sending a corresponding control instruction to an execution mechanism, and triggering a hierarchical self-healing action. According to the invention, fault identification and self-healing decision can be rapidly completed, and the accuracy of fault detection is effectively improved.

A cybersecurity rule conversion system (“conversion system”) disclosed herein converts IPS / IDS rules from existing formats to target formats in a pipeline that ensures quality of resulting converted rules. First, the conversion system identifies and validates existing rule formats. For rules with validated existing formats, the conversion system maps tokens in the existing format to tokens in the target format and populates a converted rule in the target format. The conversion system then evaluates and tunes patterns in the converted rules for matching range and length. Finally, the conversion system evaluates the converted rules for performance on traffic logs and for quality of patterns and matching ranges of patterns therein, and exports the converted rules to users with indications of performance deficiencies.

The invention discloses an equipment fault prediction method in a power transmission and transformation system, and relates to the technical field of power system operation and maintenance, and the fault prediction method comprises the following steps: data collection: collecting the data of power transmission and transformation equipment through a sensor network, and forming a multi-source heterogeneous data set; data preprocessing: performing abnormal value elimination, missing value filling and standardization processing on the multi-source heterogeneous data set; feature extraction: mining associated features and time-space evolution laws of data of different dimensions by adopting a multi-modal fusion network based on an attention mechanism; performing fault prediction, and constructing a dynamic threshold early warning model in combination with an equipment aging curve; and correcting the result to generate a final fault prediction report. The equipment fault prediction method in the power transmission and transformation system solves the problems that traditional prediction depends on single data, the fixed threshold value false alarm is high, and the advance is insufficient, improves the fault prediction accuracy and reliability, and is suitable for operation and maintenance early warning of power transmission and transformation equipment such as transformers and circuit breakers.

The invention relates to the technical field of laboratory cabinet intelligent reconstruction, and discloses a low-voltage intelligent electric control titanium wire lock and a laboratory cabinet intelligent reconstruction system.The system is characterized in that an associated data space containing an environment sensing layer, a mechanical state layer and a safety evaluation layer is constructed through multi-sensor fusion, and multi-dimensional parameters such as temperature and humidity and vibration strength are integrated; feature sets are respectively obtained by using normal and abnormal feature extraction strategies, a common rule is extracted from different working condition strategies to construct a control strategy library so as to adapt to a new scene, abnormity is monitored in real time, and emergency strategies such as parameter adjustment and operation interruption are triggered. According to the low-voltage intelligent electric control titanium wire lock, titanium alloy wires are adopted to form multi-stage linkage spring bolt mechanisms such as a main spring bolt and an auxiliary spring bolt, an electric control driving unit executes a control instruction, and a state feedback unit uploads spring bolt positions and motor torque data in real time. According to the invention, intelligent monitoring, decision making and safety protection of the laboratory cabinet body are realized, and the management efficiency and safety are improved.

The invention discloses an individual electroencephalogram conversion system, method and device fusing vision and electroencephalogram, and particularly relates to the technical field of brain-computer interfaces, and the method comprises the steps: obtaining and preprocessing electroencephalogram data of a subject and a corresponding stimulation image; respectively encoding the electroencephalogram data and the stimulation image of the subject by using an image encoding module and an electroencephalogram superficial layer feature extraction module; image encoder parameters are fixed, and electroencephalogram superficial layer feature extraction module parameters are updated through a multi-modal fusion strategy and self-adaptive contrast learning to obtain a pre-trained electroencephalogram superficial layer feature extraction module; electroencephalogram data between the subject pairs are obtained and preprocessed; initializing electroencephalogram converter model parameters, and loading pre-trained electroencephalogram superficial layer feature extraction module parameters; inputting source subject electroencephalogram data into an electroencephalogram converter to generate target subject electroencephalogram data, calculating time domain cosine distance loss, time domain mean square error loss and frequency spectrum constraint loss with real data, and updating electroencephalogram converter parameters to obtain a final electroencephalogram converter model.

The invention relates to a hybrid energy storage optimization method and device considering a fused salt heat storage coupling thermal power generating unit, and the method comprises the steps: analyzing the basic structure and energy flow relation of the fused salt heat storage coupling thermal power generating unit, and carrying out the transformation system division of the fused salt heat storage coupling thermal power generating unit; analyzing energy flow of each device of the fused salt heat storage coupling thermal power generating unit transformation system, and constructing an energy balance model and constraint conditions; building a corresponding mathematical model based on the energy balance model of each device; establishing a double-layer optimization configuration model of the corresponding hybrid energy storage system; solving the mathematical model and the double-layer optimization configuration model; according to the method, a mathematical model corresponding to molten salt heat storage coupled thermal power generating unit transformation system operation analysis is established based on the internal energy flow relation of molten salt heat storage and thermal power generating unit deep coupling, the electrochemical energy storage capacity and the molten salt heat storage capacity can be reasonably optimized through a model calculation result, multi-energy complementation of different types of energy is achieved, and the energy efficiency is improved. The system flexible adjustment capability is improved, and the system operation cost is reduced.

The invention discloses an immunodetection method based on holographic imaging mode conversion and deep learning, and belongs to the field of immunoassay detection. The deep learning holographic mode conversion system constructed based on the non-paired data set reduces the influence of diffraction interference on target quantification to the greatest extent, so that holographic super-resolution imaging is realized, and challenges in paired data set generation are overcome; besides, a functional glass slide is designed, and rapid and sensitive holographic imaging detection is realized in combination with a click reaction signal amplification strategy; the functionalized glass slide is combined with the portable holographic imaging equipment, so that the detection efficiency of the system is greatly improved while accurate signal amplification is carried out, the application scene is expanded, and antibiotic residues can be rapidly and sensitively detected. The invention opens up a new research direction for high-sensitivity on-site convenient detection of trace target objects in portable equipment and complex samples.

The invention relates to the technical field of power electronic conversion, and discloses a high-efficiency rectification conversion system and a control method thereof, and the system comprises the following modules: a detection module, an input compatible module, a hybrid power device module, a control module, a thermal management module and a frequency modulation module. The control method comprises the following steps: acquiring input power grid voltage, output current and load state parameters; calculating an input voltage phase difference; dynamically selecting the type and channel configuration of the silicon carbide or gallium nitride power device according to the load rate; outputting a device configuration instruction and a switching frequency control instruction; adjusting the cooling system through the evaluated thermal state of the conversion system; and the control module receives the control instruction output by the control module and is used for implementing a corresponding pulse width modulation strategy. According to the method, a multi-system power grid identification and self-adaptive topology switching strategy is adopted, the technical effect of automatically configuring the optimal rectification architecture under different input types is achieved, and the problems of response delay and poor compatibility of the method in the environment of variable power grid types are solved.

System, method, and apparatus for transforming computer files are provided. The method, implemented by one or more processors, comprises: inputting a source file and a source file specification, the source file including one or more source data items, the source file specification defining formats of the one or more source data items; generating, using a generative AI model based on the source data and the source file specification, a source file model including one or more source nodes, each of one or more source nodes associated with a respective data item of the one or more source data items; generating, using the generative AI model, a transform map mapping the one or more source nodes to one more target nodes of a target file model; invoking, a semantic model-based transformation service to generate an output file; and invoking a comparison module to compare the output file to an output sample.

The invention provides an automatic pretreatment format conversion method for parachute inflation finite element simulation. The automatic pretreatment format conversion method comprises the following steps: carrying out geometric modeling and finite element mesh division on a canopy and a parachute cord by utilizing Gmsh; a preprocessing format conversion system is developed, grid files and calculation parameters are uploaded, and the conversion system automatically stores, calculates and integrates data and converts preprocessing files into input files needed by finite element calculation; then, finite element simulation analysis of the typical parachute inflation process is carried out through CalculiX, so that the reliability of the automatic conversion function of the pretreatment format is verified; the automatic preprocessing format conversion system suitable for parachute inflation finite element simulation and the graphical user interface of the automatic preprocessing format conversion system are developed, full-automatic processing of files is achieved, the use threshold of a user is lowered, and simulation efficiency and application benefits are improved.

The invention relates to a new energy scene collaborative energy compensation system based on multi-energy complementation and a control method. The system comprises a power supply input and conversion module, an energy storage system, a power distribution and energy distribution module, a charging and battery replacement facility and a control system. The power input and conversion module is connected to an alternating current bus through a box-type substation, a photovoltaic panel and a photovoltaic inverter; the energy storage system is connected with an AC-DC bus through a power conversion system and a DC conversion module by utilizing an energy storage battery pack and a mobile power transmission vehicle; the power distribution and energy distribution module transmits electric energy through an AC-DC bus. The charging and battery replacing facility takes power from the AC / DC bus; the control system collects data and dispatches energy through a communication protocol, and cooperates with the power electronic transformer and the virtual synchronous machine control module to realize power grid frequency compensation and voltage stability control. According to the invention, by integrating photovoltaic, energy storage and charging facilities and power grid interaction capability, an intelligent scheduling mechanism is constructed, and multi-energy cooperative control and intelligent scheduling are realized.

The invention relates to a carbon dioxide electrocatalytic reduction catalyst, in particular to an L-cysteine modified nano-silver electrocatalyst and application thereof, and belongs to the technical field of carbon dioxide emission reduction and resource utilization and electrocatalytic material synthesis. A preparation method of the L-cysteine modified nano-silver electrocatalyst comprises the following steps: S1, dissolving silver nitrate in water to obtain a 0.05-100mM silver nitrate solution, adding the silver nitrate solution into ethylene glycol, and uniformly stirring; the volume ratio of the silver nitrate solution to the ethylene glycol is 1: (2-20); s2, L-cysteine is added into the mixed solution, microwave heating is performed after uniform stirring, obtained solids are centrifugally washed at least three times with ethyl alcohol and ultrapure water respectively, and the solids are dried in a vacuum drying box to obtain nano-silver particles; the molar ratio of the silver element to the L-cysteine is 1: (0.01-10). By improving the adsorption capacity of the electrocatalyst on active substances, high selectivity and high stability of the product CO in a CO2 in-situ conversion system are realized.

A gas and steam power generation afterburning type heat-electricity decoupling system and a working mechanism thereof, characterized in that the system comprises a gas turbine power generation system, a power transmission and transformation system, a molten salt heat storage system and a steam power generation system; the gas turbine power generation system is connected with the molten salt heat storage system through a flue gas pipeline; the molten salt heat storage system is connected with the power transmission and transformation system through a cable; the gas turbine power generation system is connected with the power transmission and transformation system through a cable; the molten salt heat storage system is connected with the steam power generation system through a main steam pipeline and a backwater pipeline; and the steam power generation system is connected with the power transmission and transformation system through a cable. The system can realize complete heat-electricity decoupling in a green energy storage system, realize the functions of self-supply of external power, storage of green electricity or heat supply, increase the accommodation capacity of a power grid to green electricity, and enhance the stability, flexibility and safety of a new power system.

The invention relates to the technical field of digital signal processing, in particular to an intermediate frequency signal conversion system based on S-band frequency conversion processing, which comprises the following steps: S1, de-noising an original signal, S2, dynamically adjusting local frequency characteristics of the signal through a self-adaptive time-frequency window, S3, extracting time-frequency characteristics of different frequency bands through wavelet packet transformation, and S4, carrying out frequency conversion on the extracted time-frequency characteristics of different frequency bands. The wavelet packet transformation decomposes a signal into a plurality of frequency bands through multi-stage decomposition, S4, dynamically adjusting the resolution of a time-frequency graph through a reconstruction algorithm, and optimizing the reconstruction precision of different frequency components, S5, carrying out signal feature extraction on the processed signal time-frequency graph and a wavelet packet coefficient, and extracting features related to an S frequency band from the signal, and S6, carrying out wavelet packet transformation on the features related to the S frequency band. Potential representation of a signal is learned through a variational auto-encoder, and a low-dimensional feature space is extracted. According to the method, the high-frequency noise in the S-band signal can be efficiently removed, the recognition capability of the signal mode is improved, the S-band signal is processed in real time, and dynamic optimization is performed according to the signal characteristics.

The invention discloses a system for realizing bidirectional conversion between a model and a code, and the system comprises a meta-model architecture module which is used for constructing a unified model specification; the meta-model engine module is used for generating, analyzing and processing the meta-model architecture module; and the bidirectional conversion module is used for realizing forward and reverse synchronous conversion between a zero code model and a Java model serving as a program code by adopting the meta-model engine module. By means of the scheme, a unified specification with the meta-model architecture as the core is established, a powerful meta-model engine is used for automatic processing, and the barrier between a zero-code visualization model used by business personnel and bottom-layer Java codes written by developers is seamlessly broken through. The synchronization capability of the model and codes ensures the continuous alignment of business design and technical implementation, and effectively supports the quick iteration of agile development and business.

The invention discloses a distributed active thermal protection and heat-work conversion system and a using method thereof. The system comprises a distributed liquid cooling plate, a heat exchanger, a supply electromagnetic valve, a heat-work conversion plate, a storage box, a propulsion electromagnetic valve, an oxygen supplementation electromagnetic valve, an oxygen supplementation system and a thrust engine. The distributed liquid cooling plate is filled with a high-density liquid cooling working medium; the heat-work conversion plate is filled with a catalyst; an outlet of the distributed liquid cooling plate is connected with an inlet of the heat exchanger, an outlet of the heat exchanger is connected with an inlet of the heat-work conversion plate through the supply electromagnetic valve, an outlet of the heat-work conversion plate is connected with an inlet of the storage box, and an outlet of the storage box is connected with the first end of the tee joint through the propelling electromagnetic valve. The second end of the tee joint is connected with an oxygen supplementing system through an oxygen supplementing electromagnetic valve, the third end of the tee joint is connected with a thrust engine, and an outlet of the thrust engine is communicated with the outside. The heat absorption capacity of the thermal protection system is remarkably improved, thrust can be generated to do work, and the thermal protection system has wide application prospects in high-speed aircrafts.

The invention provides a load tracking control method for an energy storage system in an oil field scene, which realizes cooperative control of constant-power operation of a generator and rapid compensation of energy storage. The system comprises the following mechanisms: a diesel generator; the energy storage system comprises an energy storage converter PCS and an energy storage battery pack; the AI sampling module is used for respectively sampling implementation voltage and current data of the diesel generator and the load through a voltage transformer PT and a current transformer CT; the EMS system side power calculation module comprises an energy management system power calculation module and a power conversion system; and an oil field load; an output end of a diesel generator and an output end of an energy storage converter PCS are converged to a load output line and then are connected to an oil field load, an AI sampling module also samples voltage and current data of the load output line, the diesel generator and an energy storage system supply power to the oil field load at the same time, and an engine operates in a high-efficiency interval. And the energy storage system bears instantaneous power fluctuation.

The invention discloses an LLC circuit and a control method and device thereof, a power conversion system, a storage medium and a computer program product, the LLC circuit is provided with an LLC resonant cavity and a switching tube module, and the switching tube module is provided with a first switching tube and a second switching tube which can be alternately conducted up and down; the control method of the LLC circuit comprises the following steps: acquiring a preset resonant current threshold value of the LLC resonant cavity; and under the condition that the LLC circuit starts to start after being electrified, on the basis of a resonant current threshold value of the LLC resonant cavity, asymmetric driving pulse starting is firstly performed on the switching tube module, and then frequency reduction starting is performed, so that current-limiting starting control of the LLC circuit is realized. According to the scheme, after the LLC circuit is powered on, asymmetric driving pulse starting is firstly carried out on the switching tube module, and then frequency reduction starting is carried out, so that current-limiting starting control of the LLC circuit is realized, and the LLC circuit is enabled to be stably and safely started.

The invention discloses an automatic reference format conversion system based on Web, and belongs to the field of computer software. The system adopts a B / S architecture, receives a Word manuscript uploaded by a user and an NBIB file exported by PubMed, and provides a dynamically loaded CSL style library for selecting a target periodical format. Through regular segmentation of NBIB entries, author information is analyzed according to an FAU priority strategy to generate standardized BibTeX data; the Word manuscript is converted into a JSON-VDOM tree with a reserved style, placeholders are positioned and referenced, a three-dimensional mapping index is established, the placeholders are replaced through CSL rendering, a reference list is added, and a final document is reversely generated. Temporary data are isolated and automatically cleaned through the UUID, and safety is guaranteed. The problems of local dependence, inaccurate analysis and tedious operation in the prior art are solved, the method is efficient, accurate, flexible and easy to use, and the paper reference typesetting efficiency is greatly improved.

The disclosed technology relates to methods, voice conversion systems, and non-transitory computer readable media for determining quality assurance of parallel speech utterances. In some examples, a candidate utterance and a reference utterance in obtained audio data are converted into first and second time series sequence representations, respectively, using acoustic features and linguistic features. A cross-correlation of the first and second time series sequence representations is performed to generate a result representing a first degree of similarity between the first and second time series sequence representations. An alignment difference of path-based distances between the reference and candidate speech utterances is generated. A quality metric is then output, which is generated based on the result of the cross-correlation and the alignment difference. The quality metric is indicative of a second degree of similarity between the candidate and reference utterances.

The invention discloses a space radiant energy collection and conversion system, which relates to the technical field of energy conversion, and comprises a motor, a main shaft, a steam turbine, an expansion machine and a synchronous generator, a clutch I and a clutch II are respectively mounted on the main shaft on the right side of the motor and the left side of the steam turbine; and a transmission I, a transmission II and a transmission III are sequentially mounted on the main shaft between the clutch I and the clutch II. According to the space radiant energy collection and conversion system, energy sources are infinite, and radiant energy in air and water is utilized and is an inexhaustible energy source; the cost is extremely low: the cost of generating one kilowatt-hour can be reduced to one minute; the system does not depend on fossil fuel, and pollution of exhaust emission to the nature is avoided.

The disclosed technology relates to methods, accent conversion systems, and non-transitory computer readable media for real-time accent conversion. In some examples, a set of phonetic embedding vectors is obtained for phonetic content representing a source accent and obtained from input audio data. A trained machine learning model is applied to the set of phonetic embedding vectors to generate a set of transformed phonetic embedding vectors corresponding to phonetic characteristics of speech data in a target accent. An alignment is determined by maximizing a cosine distance between the set of phonetic embedding vectors and the set of transformed phonetic embedding vectors. The speech data is then aligned to the phonetic content based on the determined alignment to generate output audio data representing the target accent. The disclosed technology transforms phonetic characteristics of a source accent to match the target accent more closely for efficient and seamless accent conversion in real-time applications.