441 results about "Synthesis methods" patented technology

The invention relates to a multi-agent-based material performance prediction and synthesis system, and the system comprises a multi-agent data enhancement module which is configured to be used for firstly disassembling a complex problem into a plurality of subtasks, and then constructing a fine tuning data set comprising Sub-CoQ question and answer pairs by starting multi-source parallel retrieval; the multi-expert debate module is configured to be used for simulating decision conflicts of different roles in material engineering and generating a direct preference optimization DPO data set through debate; the training and verification module is configured to be used for training and verifying a large model MatMind in the field of materials by utilizing supervised fine tuning SFT and reinforcement learning RLHF based on the fine tuning data set and the DPO data set; and the material performance prediction and synthesis module is configured to be used for realizing intelligent recommendation of a material performance prediction and synthesis process by importing input parameters into the large model MatMind.

The embodiment of the invention provides a voice synthesis method and device, a vehicle and a storage medium, and the method comprises the steps: obtaining multi-modal data which comprises a voice signal, a user instruction, a historical interaction log and bus data; determining model input parameters according to the multi-modal data; according to the model input parameters, the static corpus and a preset large model, generating a personalized script, the preset large model being used for dynamically generating the personalized script in combination with the model input parameters and the static corpus; and synthesizing the broadcast audio according to the personalized script. According to the invention, the technical problem that the voice synthesis technology in the related technology cannot adapt to the personalized demands of the user is solved.

Disclosed in the present invention are a method and apparatus for synthesizing spatially cross-correlated multi-point ground motions fitting a response spectrum. The method comprises: using an influence matrix method to obtain ground motion acceleration time histories fitting a target reaction spectrum with high precision, and calculating a Fourier amplitude spectrum and a phase spectrum thereof; and considering a calculation relationship between a power spectral density function and the Fourier amplitude spectrum, taking the power spectral density function of the obtained time histories as an initial value, using a random vibration theory and Cholesky decomposition to obtain spatially cross-correlated multi-point ground motion time histories, further taking into account a phase spectrum of the ground motion time histories fitting the target reaction spectrum with high precision, and performing correction and iteration to obtain spatially cross-correlated multi-point ground motions fitting a response spectrum. The present invention overcomes the shortcomings in current multi-point ground motion time history synthesis techniques, such as the difficulty in ensuring good fitting to a target response spectrum and the non-stationarity of synthesized ground motions, helping to improve the reliability of dynamic response analysis results for large-scale engineering structures under the action of multi-point ground motions.

An audio synthesis method, an audio synthesis model training method, an apparatus, an electronic device, a computer-readable storage medium, and a computer program product, which relate to artificial intelligence technology. The method includes: invoking an audio synthesis model based on language information and preset style information of a target text to perform following processing, the audio synthesis model including a prior encoder and a waveform decoder: generating audio features corresponding to the target text based on the language information and the preset style information by using the prior encoder; performing normalizing flow processing on the audio features by using the prior encoder, to obtain a hidden variable of the target text; and performing waveform decoding on the hidden variable of the target text by using the waveform decoder, to obtain a synthetic waveform conforming to an audio style described in the preset style information and corresponding to the target text.

The invention aims to serve the national strategic emerging industry, and discloses a deterministic material synthesis method and a deterministic material synthesis system for pre-nucleation chiral intervention (PNChI for short), which are suitable for one-dimensional or quasi-one-dimensional material systems (such as carbon nanotubes, biomacromolecules and the like) with formalized chiral tags. According to the method, before irreversible closed nucleation of a precursor is completed, deterministic authorization of a target chiral index (n, m) is realized in a controllable time window through at least one engineering intervention mechanism (such as physical field regulation, catalytic interface design, information coding guidance and the like) based on distinguishable physical properties, and consistency is kept in subsequent growth. The system comprises a programmable intervention unit and an intelligent sequence control module, and does not depend on a separation or screening step after nucleation. The single chiral index abundance in the obtained material is greater than or equal to 95%, preferably greater than or equal to 98%. The statistical limitation of traditional chiral control is broken through, a general synthesis normal form from'instruction input 'to'structure output' is constructed, and the method is suitable for high-consistency application scenes such as semiconductors, quantum devices, catalysts and biological recognition.

The invention discloses a video synthesis method and system, and relates to the technical field of audio and video processing. A video synthesis system comprises a video source acquisition and processing module, a cross-modal semantic understanding module, an attention tensor generation module, a hierarchical progressive fusion module and a quality evaluation and optimization module. According to the method, the spatial-temporal joint features are extracted through the three-dimensional convolutional network, and the audio-visual cross-modal attention mechanism is constructed, so that the dynamic association strength of the audio event and the video content can be quantified, and the main body space mask can be generated, and therefore, the traditional isolated visual processing can be expanded into sound and picture semantic linkage understanding; in this way, deep guidance of multi-modal information on the synthesis process is achieved, and the synthesis effect of the video synthesis method and system is improved.

The invention provides low-temperature synthesis equipment for reducing slurry viscosity and a synthesis method thereof, and relates to the field of ceramic slurry synthesis, the low-temperature synthesis equipment comprises a synthesis assembly, the synthesis assembly comprises a driving mechanism and a dispersion mechanism, the effective use outer diameter of the dispersion mechanism can be freely regulated and controlled, so that the dispersion mechanism can adapt to dispersion cylinders with different inner diameters; the working position can be flexibly adjusted without replacing the dispersion disc, the gap between the dispersion disc and the barrel wall is reduced to eliminate edge stirring dead angles, and meanwhile, the two dispersion mechanisms rotate in opposite directions, so that the dispersion mechanisms are matched with different outer diameters, a complex three-dimensional flow field can be formed in the barrel, the slurry dispersion uniformity and the viscosity reduction efficiency are remarkably improved, and the dispersion efficiency is improved. The problems that a dispersing disc of a dispersing machine used for synthesizing ceramic slurry is of a fixed structure and can only adapt to a dispersing barrel with a certain specific inner diameter, the dispersing machine is mostly of a single-disc structure, dead angles are easily formed at the upper part and the bottom of a barrel body, and the synthesis effect is poor are solved.

The invention relates to the technical field of speech semantics, can be applied to business system platforms of financial science and technology, medical health and the like, and discloses a speech synthesis method, device, equipment and medium based on speech token fusion. Performing text coding on the initial potential representation to obtain a target text feature; generating a semantic token corresponding to the initial text according to the target text feature, and performing time sequence alignment on the semantic token and the target text feature to obtain a target semantic token; obtaining user voice of a reference user, extracting timbre characteristics of the user voice, and generating a Mel spectrogram frame by frame according to the timbre characteristics and the target semantic token; and performing speech synthesis according to the Mel spectrogram to obtain target speech. The speech synthesis efficiency and quality can be improved.

The invention relates to a personalized timbre migration and synthesis method based on a virtual singer, and the method comprises the steps: obtaining a reference singing audio of a target virtual singer, and extracting a timbre identity benchmark feature used for representing the timbre identity stability through timbre coding; obtaining personalized timbre migration demand information for the virtual singer, wherein the demand information comprises a to-be-migrated timbre attribute and a corresponding target change amplitude or change direction; calculating a compatibility score according to the timbre identity reference feature and a migration demand, generating a timbre migration risk indication value, and comparing the risk indication value with a preset threshold value or a preset threshold value interval to determine that the migration is high-risk migration or low-risk migration or conservative-risk migration; according to the method, the tone identity benchmark features in the reference singing audio are extracted, and the tone identity invariant set with stable transpitch and sounding intensity is further constructed, so that the core tone identity of the virtual singer is accurately described.

The invention discloses a commentary video synthesis method and device, equipment and a medium, and the method comprises the steps: obtaining a commentary content text of an original video, and generating a subtitle data set corresponding to the commentary content text and an audio data set of the subtitle data set, the subtitle data set comprises a plurality of subtitle display time periods arranged according to a time sequence and subtitle texts corresponding to the subtitle display time periods; determining a corresponding image display time period according to each subtitle display time period in the subtitle data set; corresponding to each image display time period, determining a matched image frame sub-sequence in a preset image material library according to a caption text in the corresponding caption display time period in the caption data set so as to construct a video image frame sequence; and synthesizing a corresponding target explanation video according to the subtitle data set, the audio data set and the video image frame sequence. According to the method, the subtitles, the audios and the corresponding image frame sequences accurately matched with the explanation content text are automatically generated, so that the production efficiency and quality of the explanation video are remarkably improved.

A method for training a speech synthesis model includes obtaining training data; obtaining an initial speech synthesis model; training a semantic encoding network and a semantic decoding network in the speech synthesis model respectively based on a style sample speech, a timbre sample speech, an input sample text, and an output sample speech in training samples of the training data, to obtain a trained speech synthesis model.

The invention belongs to the technical field of power protection, and particularly relates to a station transformer grounding current synchronous synthesis method and system, and the method comprises the steps: carrying out the grouping according to the number of a station transformer, synchronously collecting the grounding branch current of each station transformer to obtain an original signal, carrying out the double identification, and carrying out the homologous copying; generating two paths of independent signals of frequency detection and phase calibration; frequency detection signals are grouped according to double identifications, the independent actual frequency of each station transformer is obtained after frequency detection processing, and a same-frequency sine dynamic reference signal is generated based on the independent actual frequency; performing phase alignment and compensation on the phase calibration signal and the corresponding reference signal according to the double identifiers to obtain a calibrated signal; according to the method, the phase calibration reference of each station transformer is completely matched with the actual frequency of the station transformer, the reason of phase reference dislocation caused by frequency fluctuation is eliminated from the source, and the accuracy of synthesizing the total grounding current in the station is improved.

The embodiment of the invention provides an audio synthesis method and device, a medium and equipment, and relates to the technical field of speech synthesis. The method comprises the steps of obtaining a target text to be subjected to audio synthesis; splitting the target text into a plurality of text units with complete semantics to obtain a task sequence; for the ith text unit in the task sequence, scheduling influence factors are obtained before the audio synthesis task is executed, the scheduling influence factors comprise application layer semantic information and / or equipment real-time performance indexes, and i is a positive integer; determining a target synthetic link from a cloud synthetic link and an end-side synthetic link based on the scheduling influence factors; and completing audio synthesis of the ith text unit through the target synthesis link. According to the scheme provided by the embodiment of the invention, in the audio synthesis process of the target text, adaptive switching between the cloud audio synthesis link and the end-side audio synthesis link can be realized in a low-delay manner.

The invention provides a speech synthesis method and a related device, and relates to the technical field of speech synthesis. The speech synthesis method comprises the following steps: acquiring a first emotion feature of a target historical interaction speech; predicting a second emotion feature of a target voice to be generated according to the first emotion feature, a historical interaction text and a target text; wherein the historical interaction text is a text corresponding to the target historical interaction voice, the target text is a reply text generated based on an input voice in the latest round of voice interaction, and the target voice is a reply voice to be generated in the latest round of voice interaction; and generating the target voice according to the first emotion feature, the historical interaction text, the second emotion feature and the target text. According to the technical scheme provided by the invention, the problem that the emotional rhythm of the reply voice does not accord with the current context when the reply voice is generated based on the reply text in the prior art can be solved.

The invention provides a reverse synthesis method of a carbon-based environmental functional material, and belongs to the technical field of computer material science. The method comprises the following steps: firstly, carrying out collaborative acquisition and joint data set construction of multi-source heterogeneous data of the carbon-based environmental functional material; building a reverse generation model of a carbon aerogel hole topological structure by means of a deep generative adversarial architecture, converting macroscopic performance indexes into high-dimensional constraint features by means of a performance coding network, and realizing directional generation of micro-pores by means of a self-adaptive modulation mechanism of a synthetic network. Meanwhile, an embedded physical attribute check and adversarial collaborative optimization strategy is implemented, a physical regression check head embedded in the authentication network is reused, and a self-supervised feedback closed loop without an agent model is constructed. And finally, completing process parameter inversion and intelligent decision recommendation based on multi-dimensional feature decoupling, and mapping the optimal microstructure features into an executable synthesis process formula through morphological quantitative verification and a process parameter inversion network.

The invention relates to the technical field of speech synthesis, is used for artificial intelligence scenes, financial business scenes and medical health business scenes, and provides a speech synthesis method, a diffusion model training method, a device and equipment, and the method comprises the steps: obtaining text information; carrying out coding processing on the text information based on a text coding sub-model of a diffusion model to obtain a vector sequence; based on an acoustic feature extraction sub-model, performing acoustic feature extraction processing on the vector sequence to obtain a first Mel spectrum; based on a context sensing sub-model, according to the vector sequence, performing text-voice alignment processing on the first Mel spectrum to obtain a second Mel spectrum; performing residual learning and multi-scale acoustic feature extraction processing on the second Mel spectrum based on a high-frequency compensation diffusion sub-model to obtain a target Mel spectrum; and based on the diffusion sub-model, according to the target Mel spectrum, determining the target voice so as to improve the voice synthesis effect and further promote the development of financial services and medical health services.

The invention provides a multi-dialect speech synthesis method and device, computer equipment and a storage medium, and relates to the technical field of speech synthesis. According to the method, the input text is received, the language category corresponding to the input text is recognized, then the mapping rule corresponding to the language category is adopted to convert the input text into the standardized phoneme sequence, and it is ensured that phoneme expressions of different languages and dialects are consistent. The standardized phoneme sequence is input to the text coding layer, coding is performed through at least one dialect expert sub-network, learning and optimization are performed for specific features of different dialects, dialect feature vectors are obtained, and the naturalness and accuracy of speech synthesis are improved. The dialect feature vector is input into the acoustic decoder and converted into the corresponding voice waveform, and the multi-dialect synthetic voice is generated, so that the naturalness and accuracy of the dialect voice are ensured, and the multi-language adaptability of the voice synthesis model in the application scenes of financial consultation service, medical health inquiry and the like is improved.

The invention discloses a direct digital synthesis method and system based on a mixed fraction proportion. The method comprises the following steps: determining an integer frequency control word, a numerator frequency control word and a denominator frequency control word based on a target frequency, a sampling frequency and a bit width of a phase accumulator; performing a fractional phase accumulation operation based on the sampling frequency, the molecular frequency control word, and the phase accumulator to generate a carry signal; performing integer phase carry and accumulation operation in parallel with the fractional phase accumulation operation according to the sampling frequency, the integer frequency control word and the phase accumulator to obtain an integer phase value; and acquiring a waveform digital amplitude corresponding to the integer phase value, and performing signal conversion according to the waveform digital amplitude to obtain an amplitude signal corresponding to the target frequency so as to improve the precision of the frequency synthesis signal.

This application provides a speech synthesis method, apparatus, computer device, and storage medium. The method relates to speech synthesis technology and is applied in the financial field. It includes: acquiring initial text to be synthesized and reference audio; inputting the initial text into a preset phoneme encoder, outputting multiple phonemes corresponding to the initial text; inputting the reference audio into a preset prosodic encoder, outputting multiple prosodices corresponding to the reference audio; aligning each phoneme and multiple prosodices based on a self-attention mechanism, acquiring embedding information corresponding to each phoneme; the embedding information includes at least one prosodic and a weight corresponding to each prosodic; generating a Mel spectrum based on each phoneme and its corresponding embedding information; generating synthesized audio based on the Mel spectrum, thus completing the prosodic alignment of the initial text and the reference audio. After synthesis, the prosodices will appear in accurate positions in the audio, improving the naturalness, credibility, persuasiveness, and appeal of the speech, and adapting to different application scenarios and user preferences.

The invention relates to the technical field of audio processing and automobiles, discloses a sound synthesis method, device and system, a vehicle and a medium, and is used for solving the problem that when audio is spliced, instantaneous broadband pulse signals are generated, splicing transition is not coherent, and consequently sonic boom occurs during playing. The method comprises the following steps: acquiring N audio clips needing to be spliced, wherein N is greater than or equal to 2; according to a pre-debugged window function adjustment parameter, adjusting a window function curve shape at the splicing part of the audio clips; and according to the shape of the window function curve at the splicing part of the audio clips, correspondingly splicing the audio clips needing to be spliced in the N audio clips to obtain a synthesized audio.

The application relates to a synthesis method of a rotating phasor, which is suitable for the technical field of electrical rotating phasor conversion and is particularly directed to the decomposition and synthesis of an electrical rotating phasor. The method adjusts the initial phase of two amplitude-constant sub-rotating phasors, and then synthesizes a target rotating phasor with adjustable amplitude and initial phase, and has the characteristics of easy generation of the sub-rotating phasor, good flexibility and high reliability. The application mainly utilizes the parallelogram rule of vector operation, reduces the generation difficulty of the sub-rotating phasor by reducing the generation problem of the target rotating phasor with adjustable amplitude and initial phase to the synthesis problem of the two sub-rotating phasors with constant amplitude and adjustable phase, and solves the problem of synthesizing a complex rotating phasor from a simple rotating phasor. The technical scheme provided by the application forms a simple sub-rotating phasor through electromagnetic conversion, and provides a new idea for the synthesis of a complex rotating phasor.

This invention provides a speech synthesis method, system, electronic device, and storage medium. The method includes: acquiring a target speech synthesis instruction and a target speech synthesis text; performing structured processing on the target speech synthesis instruction based on annotation information of the target speech synthesis instruction to obtain a structured instruction; the annotation information includes word segmentation information, named entity information, and phoneme information; and performing speech synthesis based on the structured instruction and the target speech synthesis text to obtain synthesized speech. This invention enhances the understanding and parsing ability of implicit information in free instructions to dynamically generate corresponding speech synthesis parameters, thereby generating synthesized speech that better meets user expectations and effectively improving the accuracy and consistency of synthesized speech.

The application discloses a digital human speech synthesis method and system based on multi-modal speech feature fusion, wherein the method performs weighted fusion on multi-modal features through feature concatenation and a multi-head modal interaction attention mechanism, not only realizes modal fusion through a feature splicing concatenation mode, but also realizes display modeling of internal correlations between different modal features through the multi-head modal interaction attention mechanism, realizes deep interaction fusion between multi-modal features, is convenient for realizing fine-grained acoustic feature control, and enables the model to independently control acoustic parameters in different dimensions, so that the naturalness and personalization of synthesized speech can be significantly improved.

This invention provides a speech synthesis method, apparatus, electronic device, and storage medium. The method includes: acquiring target text; performing prosodic level prediction on the target text to obtain prosodic boundary information of the target text; determining each prosodic word in the target text based on the prosodic word boundaries in the prosodic boundary information; acquiring the dialectal phonology corresponding to the target text, and determining the dialectal tone sandhi pattern corresponding to each prosodic word based on the dialectal phonology, wherein the dialectal tone sandhi pattern is used to indicate the tone sandhi boundary in each prosodic word; and synthesizing the dialectal speech corresponding to the target text based on the prosodic boundary information and the dialectal tone sandhi pattern. The speech synthesis method, apparatus, electronic device, and storage medium provided by this invention can improve the accuracy and intelligibility of speech synthesis.

Embodiments of the present application provide a layer synthesis method and device, electronic equipment and storage medium, the method comprising: obtaining a second layer, a blank layer and a plurality of first layers, the second layer being a layer that has undergone specific processing, the level of the second layer being between the levels of the plurality of first layers, the level of the blank layer being the same as the level of the second layer, and the color value of the pixel points in the blank layer being a preset value; performing synthesis processing on the plurality of first layers and the blank layer to obtain a first synthesis layer; and performing superimposition processing on the first synthesis layer and the second layer to obtain a second synthesis layer. When specific processing is required for an intermediate layer, a plurality of layers can be synthesized.

The application discloses a kind of synthesis methods of alternating current residual current for electric power, belong to electric power technical field, alternating current residual current synthesis method is based on monitoring host computer and synthesis module constructs hardware system, adopts the way of combination of vector synthesis in module and cross-channel software synthesis, adapts alternating current distribution zero-sharing condition, first installs and configures equipment communication and acquisition channel, then sets single module in synthesis direction, output type and cross-channel software synthesis parameter;Configuration multistage current threshold and back difference, open alarm, recording, tripping and reset function;Host computer collects and calculates real leakage current according to preset period, triggers alarm, recording according to rules when threshold value is exceeded, supports data viewing, export and fault reset;After parameter one-key issue, host computer monitors in real time and interacts with upper computer through Modbus, realizes remote monitoring and insulation safety early warning, effectively improves monitoring precision and system stability.

The present application relates to the technical field of speech synthesis, and in particular to a speech synthesis method and device, the method comprising: fixing parameters of a speech synthesis model, taking higher similarity between real speech of a target object and speech of the target object synthesized by the speech synthesis model as an optimization target, updating and iterating feature values of an initial speech feature vector to obtain a target speech feature vector of the target object; inputting the target speech feature vector and text to be synthesized into the speech synthesis model to synthesize target speech corresponding to the text to be synthesized. The present application can reduce training cost and shorten synthesis time by adjusting the feature values of the initial speech feature vector to synthesize the speech of the target object, and can efficiently adapt to speech synthesis tasks of different target objects.

The invention discloses a frequency duplex synthesis method for realizing a terahertz ultra-wideband frequency multiplier, and relates to the technical field of submillimeter wave / terahertz solid-state frequency multipliers, a'frequency division-frequency multiplication-frequency combination 'duplex circuit architecture is adopted, a frequency division circuit and a frequency combination circuit are both based on a hybrid network type waveguide duplexer design, and the frequency division-frequency multiplication-frequency combination duplex circuit design is adopted. The frequency multiplier circuit is realized by adopting a hybrid integrated frequency doubler, the cost is low, the cavity structure is completely processed by adopting a CNC milling process, and the solid-state characteristic is realized; therefore, under the condition that the frequency doubling / frequency conversion efficiency is not reduced, the frequency doubler capable of covering the full frequency band of 170-260GHz (WR-4 frequency band) can be realized, namely, the double advantages of wide frequency band and high efficiency of the frequency doubler are considered, and the technical problem that the wide frequency band and the high efficiency of a submillimeter wave / terahertz schottky frequency doubler at the present stage cannot be achieved at the same time is solved.

The invention discloses an accelerator automatic synthesis method, device and equipment, a medium and a product. The method comprises the steps of generating a candidate region set according to a global program structure tree corresponding to a target application program and LLVM intermediate representation; target areas needing to be accelerated are selected from the candidate area set based on preset constraint conditions, and a target area set is formed; and integrating and multiplexing the accelerators of each target area according to the structural similarity of each target area in the target area set to obtain the accelerator finally corresponding to each target area. According to the method, omission caused by manual selection in the prior art is effectively avoided, the overall performance optimization space is improved, the search efficiency is remarkably improved while the optimal performance is ensured, and the hardware resource cost is remarkably reduced.

Embodiments of the present disclosure provide a vocoder training method. The vocoder training method comprises: obtaining a first fundamental frequency sequence of audio in an audio corpus; performing fundamental frequency perturbation processing on the first fundamental frequency sequence to obtain a second fundamental frequency sequence; performing mapping processing on the second fundamental frequency sequence to obtain a target tensor; and training the target tensor, an acoustic feature sequence corresponding to the audio, and the audio to obtain a vocoder used for audio synthesis. The method of the present disclosure improves the robustness of the vocoder to fundamental frequency prediction errors in actual application by introducing fundamental frequency perturbation, thereby significantly improving the accuracy and quality of audio synthesis and providing a better experience for users. In addition, embodiments of the present disclosure provide an audio synthesis method, a medium, a device and a computing device.