399 results about "Acoustic property" patented technology

The invention relates to the technical field of defect detection, and discloses a flange forging defect detection method and system. The method comprises the following steps: performing three-dimensional scanning and material acoustic characteristic measurement on a to-be-detected wind power flange to obtain layer partition sound isolation path data; generating an array element excitation control file of the double-array phased array ultrasonic detection system; applying the array element excitation control file to a double-array phased array ultrasonic detection system, and performing micro defect feature enhancement on a received echo signal to obtain a feature-enhanced signal data set; performing ultrasonic emission and data acquisition on the wind power flange to obtain a global detection data set; and inputting the global detection data set into the two-stage defect detection model for defect feature extraction and classification evaluation, and generating a defect detection evaluation report. According to the method, the detection rate and the classification accuracy of the micro forging defects are improved.

The invention relates to the technical field of audio control, and provides an audio control method and device, electronic equipment and a storage medium. The audio control method comprises the steps that a sound effect test is carried out on a target space based on a specified measurement signal to obtain environment response information, and the environment response information comprises pulse response information and information obtained after pulse response is separated; analyzing the environmental response information to obtain acoustic characteristic information of the target space; performing compensation processing on the to-be-processed audio based on the acoustic characteristic information to obtain a regulated audio; regulating and controlling the gains of the multiple sound channels corresponding to the regulated and controlled audio to obtain audio regulated and controlled again; and carrying out multi-channel collaborative optimization processing on the audio after being regulated and controlled again to obtain the audio with a target effect. According to the method, accurate compensation of the acoustic defect of the target space is realized, the problem of crosstalk between sound channels is effectively solved, the positioning and space sense of the sound image is remarkably improved, the overall hearing sense of the audio is greatly improved, and the audio output is continuously optimized.

This disclosure is related to systems and methods for rendering audio for a mixed reality environment. Methods according to embodiments of this disclosure include receiving an input audio signal, via a wearable device in communication with a mixed reality environment, the input audio signal corresponding to a sound source originating from a real environment. In some embodiments, the system can determine one or more acoustic properties associated with the mixed reality environment. In some embodiments, the system can determine a signal modification parameter based on the one or more acoustic properties associated with the mixed reality environment. In some embodiments, the system can apply the signal modification parameter to the input audio signal to determine a second audio signal. The system can present the second audio signal to the user.

The air-pulse generating device comprises a film structure, operating at an ultrasonic operating frequency, and a resonant chamber, formed on a side of the film structure. A resonance is formed within the resonance chamber. Due to the resonant chamber, the APG device has a peak on a frequency response of an acoustic property of the APG device at the ultrasonic operating frequency.

The invention discloses an adjusting method of an intelligent sound box, intelligent equipment and a storage medium. Sound data of an environment where the intelligent sound box is located is collected, acoustic characteristic analysis is performed on the environment, acoustic parameters related to the intelligent sound box are automatically adjusted according to an acoustic analysis result, an acoustic model is formulated, and the intelligent sound box is adjusted according to the sound listening preference of a user. And formulating an acoustic model matched with the listening preference of the user. According to the invention, different listening environments can be automatically identified and adapted, the acoustic characteristics of the environments are analyzed in real time, and the frequency response and sound directivity of the sound box are automatically adjusted by applying a digital signal processing algorithm and a machine learning technology, so that personalized acoustic experience is provided for a user, and the overall sound quality effect is improved.

The invention relates to the technical field of voiceprint recognition, in particular to a photovoltaic equipment fault detection method and system based on voiceprint recognition, and the method comprises the following steps: collecting the sound of the surrounding environment of a current photovoltaic power station, and building scene associated equipment spectrum peak features; according to the method, classification of environment sound is introduced in the sound acquisition stage, and scene association is performed on the operation sound of the photovoltaic equipment and the surrounding background sound in combination with Mel-frequency cepstrum coefficient extraction and acoustic scene recognition, so that a more targeted reference framework is provided for subsequent analysis. Modeling of multi-source sound features is achieved by synchronously collecting operation sound of an inverter and a cooling fan in equipment and extracting spectrum peak frequency points and amplitudes. In the signal processing process, multiple sub-bands are divided on the basis of scene correlation spectrum peak frequency points, so that each sub-band is aligned with the acoustic characteristics of equipment, the structural precision of short-time energy envelope extraction is improved, and it is ensured that the cross-correlation analysis result is more reliable.

The invention provides a multi-scale while-drilling acoustic imaging logging device and method. An eccentric acoustic logging acoustic system and an active transmitting and receiving ultrasonic logging acoustic system are oppositely embedded in the outer side face of a drill collar. The eccentric acoustic logging acoustic system measures radial and circumferential acoustic characteristics of medium and long-distance stratums in an eccentric transmitting and receiving mode; the active transmitting and receiving ultrasonic logging acoustic system measures circumferential acoustic characteristics of a near-well-wall stratum in an up-down transmitting and middle compensation receiving mode; determining real-time azimuth information of rotation of the device by using an azimuth detection module; the main control electronic bin is in communication connection with all the substructures, transmits instructions and obtains sound waves, ultrasonic pulse waves and azimuth information, and sound velocity imaging data of near-well-wall stratums and medium-long-distance stratums are formed. By applying the device, the problems of small detection range, low measurement resolution, poor imaging precision, single measurement information and the like in the prior art can be solved, and comprehensive and fine evaluation on heterogeneity and anisotropy of underground geology and accurate detection on anomalous bodies can be synchronously realized.

The invention discloses an optical fiber silicon-based microstructure underwater acoustic sensor which is a non-intrinsic F-P air microcavity probe with optical signal interference formed by an optical fiber end face and a silicon-based thin film, the characteristic that the silicon-based thin film is sensitive to sound pressure signals is used for picking up sound pressure changes in a liquid sound field environment, the sound pressure changes are converted into the variable quantity of an optical signal interference phase, and the optical fiber silicon-based microstructure underwater acoustic sensor is obtained. Reducing a sound pressure signal in the liquid sound field through a detection demodulation algorithm; the microcavity probe is packaged by using an organic material thin shell structure, so that the hydrostatic pressure resistance of the underwater acoustic sensor is improved to adapt to application in a deep water environment; the optical fiber silicon-based microstructure underwater acoustic sensor comprises an acoustic sensing silicon microstructure, a microstructure sensing probe and a sensor pressure-resistant structure, according to the acoustic characteristic design of the acoustic sensing silicon microstructure, silicon oxide / silicon nitride and other materials are used as sensing materials, and membrane external stress recovery is achieved through internal stress residues. The method is easy to implement in design process, flexible in application and high in environmental adaptability, and can be applied to noise monitoring and target detection in various complex scenes.

A computer system outputs audio content via one or more audio output devices. If the audio content includes information that enables spatialization of the audio content, the system outputs the audio content in a simulated three-dimensional environment, including, if the audio content corresponds to a first category of content, causing the one or more audio output devices to simulate production of the audio content in a first virtual space, and if the audio content corresponds to a second category of content, causing the one or more audio output devices to simulate production of the audio content in a second virtual space that has different simulated acoustic properties than simulated acoustic properties of the first virtual space.

The invention belongs to the technical field of acoustic measurement, and particularly relates to an acoustic flow tube test platform and a test method thereof, transmission loss measurement of an acoustic metasurface under a flow field working condition is carried out through the constructed acoustic flow tube test platform, and a test piece mounting tube of the acoustic flow tube test platform can be used for mounting most acoustic metasurface test pieces. The related technical research of the acoustic metasurface is facilitated; meanwhile, the test platform creates a flow acoustic measurement environment, weakens the turbulence pressure disturbance influence by means of a reference signal, self-spectrum and cross-spectrum signal processing method based on a scattering matrix theory, and adopts a double-load method to perform parameter solution on a scattering matrix and calculate a class of acoustic characteristics of the acoustic metasurface to be tested, thereby solving the problem of low Mach number (llt; the method can be used for measuring the transmission loss of the acoustic metasurface in the low and medium frequency range (300-2000Hz) under the tangential flow (0.3 Mach), and the technology can be widely applied to the fields of unmanned aerial vehicles, eVTOLs, household appliances, automobiles and the like with noise reduction requirements.

The invention discloses a defect identification method and system for a petroleum accessory mud pump shell based on deep learning, and belongs to the technical field of machine learning, and the method comprises the steps: collecting an acoustic original signal of an inner cavity of the mud pump shell, and carrying out the preprocessing of the original signal, the acoustic response characteristics of the slurry pump shell under the target excitation are obtained; calculating a frequency domain energy distribution feature, a time frequency correlation feature and a modal decomposition feature of the acoustic response feature, and performing discretization processing in a preset frequency range to obtain a feature vector; and inputting the feature vectors into a trained deep learning model constructed based on a convolutional neural network and a long-short-term memory network to obtain probability distribution of various defect types of the slurry pump shell. According to the scheme, the acoustic characteristics of the shell can be utilized, and signal processing and machine learning technologies are combined, so that rapid, lossless and automatic defect detection of the slurry pump shell is realized.

Examples of the disclosure describe systems and methods for estimating acoustic properties of an environment. In an example method, a first audio signal is received via a microphone of a wearable head device. An envelope of the first audio signal is determined, and a first reverberation time is estimated based on the envelope of the first audio signal. A difference between the first reverberation time and a second reverberation time is determined. A change in the environment is determined based on the difference between the first reverberation time and the second reverberation time. A second audio signal is presented via a speaker of a wearable head device, wherein the second audio signal is based on the second reverberation time.

Spatial audio integrated point clouds expand the definition of point cloud points to include acoustic characteristics in addition to positional coordinates for the positioning of the points in a three-dimensional (3D) space and visual characteristics for how the individual points are presented at their respective positions in the 3D space. A system may generate a 3D scene based on the positioning of the points, and may track a path for sound that is emitted from a sound source. The system determines that the path reaches a position of one or more of the points, and performs a first adjustment to the sound according to the defined acoustic characteristics of the one or more points.

The invention relates to the technical field of material analysis, and discloses an intelligent raw material composition screening method and system based on a sound insulation material, and the method comprises the steps: collecting acoustic characteristic test data, microstructure data and chemical composition data of a candidate sound insulation material; performing frequency response curve decomposition on the acoustic characteristic test data to obtain a characteristic frequency band sound absorption coefficient, and constructing an acoustic impedance tensor of the sound insulation material to analyze the sound wave dissipation performance of the candidate sound insulation material; calculating the pore distribution entropy and connectivity index of the candidate sound insulation material to analyze the sound wave propagation retardation efficiency of the candidate sound insulation material; analyzing the molecular chain flexibility and interfacial compatibility of the candidate sound insulation material to evaluate the acoustic performance stability of the candidate sound insulation material for multi-component compounding; and screening a target material from the candidate sound insulation materials by using sound wave dissipation performance, sound wave propagation retardation efficiency and acoustic performance stability. The performance matching degree of the raw materials screened out of the sound insulation material in actual composite use can be improved.

The invention relates to the technical field of audio processing, and discloses a configuration method, system and device of a multi-room audio system and a storage medium, which are used for improving the accuracy of parameter adjustment of each audio device in the audio system. The configuration method of the multi-room audio system comprises the following steps: acquiring spatial layout information of each room and physical position information and performance parameters of each audio device; based on the spatial layout information of each room and the physical position information and performance parameters of each audio device, constructing an acoustic model comprising the plurality of rooms and the audio devices; analyzing an acoustic coupling relationship between different rooms and signal transmission characteristics of each audio device based on an acoustic model to obtain an acoustic characteristic parameter set; according to the acoustic characteristic parameter set, sound channel distribution and volume adjustment of each audio device are optimized, and an optimized audio configuration parameter set is obtained; and according to the optimized audio configuration parameter set, automatically configuring sound channel distribution, volume adjustment and audio signal transmission paths of the multi-room audio system.

An active noise reduction system includes an error microphone configured to generate an error signal, and a controller configured to control a speaker based on the error signal. The controller includes a control filter configured to generate a control signal, a secondary path filter that represents an estimation value of a transfer function of a secondary path, and a correction filter that represents a difference between acoustic characteristics at a position of the error microphone and acoustic characteristics at a position of a user. The controller is configured to generate a correction signal by the correction filter, generate a correction error signal by correcting the error signal using the correction signal, generate a canceling sound estimation signal by the secondary path filter based on the control signal, and adaptively update the secondary path filter based on the canceling sound estimation signal and the correction error signal.

This application provides a system for generating a drive signal and a method for generating a drive signal for driving a two-in-one device integrating a first component capable of generating sound and a second component capable of generating vibration. The system includes an audio signal pre-processing module, configured to perform low-frequency filtering and acoustic effect processing on an input signal according to a high-pass filtering parameter to obtain an audio signal; a vibration signal generation module, configured to generate a vibration signal based on an acoustic characteristic of the audio signal or a preset vibration library; a signal synthesis module, configured to superpose the audio signal with the vibration signal to output the drive signal; and an amplitude-limiting control module, configured to determine whether the audio signal and the vibration signal exceeds a maximum allowable range when superposed, and attenuate the audio signal and / or the vibration signal.

The invention provides an acoustic system control method based on a scene type and a related device, and the method comprises the steps: carrying out the comprehensive analysis of a scene based on the collected real-time scene data in a current site, and obtaining the scene type of the current site at each time; when it is monitored that the current site is switched from the first scene type to the second scene type, based on a first acoustic parameter corresponding to the first scene type and a second acoustic parameter corresponding to the second scene type, an acoustic system is controlled to be transitionally switched to a target acoustic parameter; environment data of the current site at the time corresponding to the second scene type are collected; optimizing the second acoustic parameter based on the environmental data to obtain an optimized acoustic parameter; and controlling acoustic output parameters of an acoustic system of the current site based on the optimized acoustic parameters. According to the method, the problem of adapting to dynamic changes of field acoustic characteristics is solved, a good acoustic effect can be obtained in various scenes and environments, and the sound quality of an acoustic system is improved.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating an audio signal from input text. In one aspect, a method includes receiving a request to convert an input text to an audio signal, where the input text includes a plurality of lexical meta text inputs; generating, using a first generative neural network, a semantic representation of the lexical text input, the semantic representation comprising semantic terms representing semantic content of the lexical text input, each semantic term selected from a word list of semantic terms; generating an acoustic representation of the semantic representation using a second generative neural network and on at least the semantic representation, the acoustic representation comprising one or more respective acoustic lems representing acoustic properties of the audio signal; and processing the acoustic representation using a decoder neural network to generate an audio signal.

The invention provides a cell acoustic characteristic parameter estimation method and system based on a full-connection neural network and a computer medium, and relates to the technical field of biomedical engineering and micro-nano operation, and the method comprises the steps: constructing a three-layer spherical shell model of a target cell, defining the radius, density and sound velocity of each layer and a surrounding medium, and constructing a three-layer spherical shell model of the target cell; the acoustic impedance and the wave number of each layer are calculated; obtaining a transducer driving parameter, a displacement speed of the cell or equivalent particle solid sphere particle, and physical parameters of the cell and a medium; inputting the input feature data into a pre-trained full-connection neural network model to output acoustic characteristic parameters such as a scattering coefficient and an internal refraction coefficient; and calculating acoustic radiation force based on the acoustic characteristic parameters to realize dynamic control. Based on the full-connection neural network and the three-layer spherical shell model, the cell acoustic parameters are efficiently and accurately estimated, the problems that a traditional method is complex in calculation and insufficient in precision are solved, and accurate operation of the acoustic tweezers on the cells is achieved.

The invention discloses a lightweight sound-insulation aerated concrete block and a preparation method thereof, and relates to the technical field of aerated concrete blocks. The polypropylene fibers are blended into the aerated concrete at a low mixing amount, so that the overall performance of the concrete is remarkably improved, the concrete is endowed with a new acoustic characteristic, and the polypropylene fibers have a unique physical property and a distribution mode; a structure similar to a natural or artificial fabric is formed in a pore network of the aerated concrete, when sound waves pass, tiny vibration of fibers can be induced, then the sound waves interact with surrounding pore walls, friction and energy conversion are generated, mechanical energy of the sound waves is effectively converted into heat energy in the process, and the sound waves can be effectively absorbed by the aerated concrete. The absorption and weakening of sound waves are realized, so that a remarkable sound absorption effect is shown.

The invention provides an ultrasonic detection method for internal defects of an insulating part of a power system based on a piezoelectric ultrasonic transducer, and belongs to the technical field of insulating part detection. After wavelet denoising and deep attenuation compensation are carried out on echo signals, sound path distance time delay and sound pressure amplitude parameters are extracted, defect identification and position estimation are carried out by utilizing a layered variational auto-encoder, a high-frequency transducer is switched to aiming at tiny defects, a harmonic component is extracted by adopting a nonlinear ultrasonic method, and a characteristic size is calculated; a defect distribution space feature matrix is generated based on a synthetic aperture focusing technology, a unified or personalized processing strategy is selected according to an acoustic characteristic homogenization degree evaluation value, a complete defect detection result is output, and the technical problem that deep weak defects in the electric insulation part are difficult to accurately detect and recognize is solved.

The invention discloses an underwater vehicle multi-time sound scattering characteristic forecasting method, which comprises the following steps: a preprocessing step: constructing a geometric model of an underwater vehicle for subsequent acoustic simulation and calculation; subdividing an underwater vehicle grid model, performing grid subdivision on the basis of the geometric model, and dividing the underwater vehicle model into smaller units so as to facilitate numerical calculation; and establishing an underwater vehicle multilayer grouping surface element model, and dividing the surface of the underwater vehicle into a plurality of surface elements to simulate the complex structure of the underwater vehicle. The solving step comprises: using an iterative algorithm to accelerate the physical acoustic simulation process; different-order scattering sound fields are calculated, and an accurate simulation result is obtained according to the multiple scattering phenomena of the underwater vehicle. The post-processing step comprises the step of analyzing and obtaining acoustic characteristics of the underwater vehicle in the underwater environment, wherein the acoustic characteristics comprise multiple acoustic scattering time domain echoes and target intensity of the underwater vehicle.

The invention discloses a spatial sound effect test method and system for a sound system. The method comprises the following steps: S1, synchronously acquiring multi-modal sensing data of a test environment in a preset stage; s2, generating a three-dimensional sound pressure distribution thermodynamic diagram, and constructing an initial sound field model based on the three-dimensional sound pressure distribution thermodynamic diagram; s3, generating a corrected sound field model, and synchronously recording vibration data acquired by the triaxial accelerometer; s4, generating a sound image positioning trajectory diagram, and calculating a deviation angle between an actual sound image position and a theoretical position; and S5, determining the sound effect quality score of each test stage. According to the method, a closed-loop test framework of physical environment perception, sound field real-time modeling, man-machine interaction analysis and fault linkage traceability is constructed, a full-process test solution covering a hardware state, acoustic characteristics and human factor perception is provided for an immersive audio system, and the spatial sound effect reliability of digital playing equipment is remarkably improved.

A fluid treatment system includes: a liquid confinement structure configured to confine an immersion liquid to a space between at least a portion of the liquid confinement structure and a surface of a substrate, the liquid confinement structure having an aperture forming a passage therein for passage of a radiation beam to irradiate the surface of the substrate by passing through the immersion liquid; and a diagnostic tool configured to detect an abnormal condition in the fluid treatment system, the diagnostic tool comprising an acoustic system configured to measure acoustic characteristics of the liquid confinement structure and / or the immersion liquid, where the acoustic system comprises a transducer configured to emit an acoustic detection signal to and / or receive acoustic waves from the immersion liquid.

The present disclosure relates to the technical field of audio control. Provided are a computer-implemented method for audio control, and an electronic device and a storage medium. The computer-implemented method for audio control comprises: on the basis of a specified measurement signal, performing acoustic effect testing on a target space, in order to obtain environmental response information, wherein the environmental response information comprises impulse response information and post-separation impulse response information; analyzing the environmental response information, in order to obtain acoustic characteristic information of the target space; on the basis of the acoustic characteristic information, performing compensation processing on audio to be processed, in order to obtain regulated audio; regulating gains of multiple channels corresponding to the regulated audio, in order to obtain re-regulated audio; and performing multi-channel collaborative optimization processing on the re-regulated audio, in order to obtain audio having a target effect. The method achieves precise compensation for spatial acoustic defects, resolves inter-channel crosstalk, improves the acoustic image localization and spatial perception, significantly improves the perceptual audio quality, and optimizes an output.

According to the concrete strength-based automatic detection method provided by the invention, comprehensive and accurate evaluation on concrete surface strength distribution is realized in a mode of combining infrared thermal imaging and sound wave detection. The method comprises the following steps: firstly, acquiring an initial intensity distribution characteristic pattern by using an infrared thermal imaging technology, and optimizing and correcting according to environmental parameters; secondly, for the low-intensity suspicion area, acoustic characteristic parameters are obtained through acoustic wave detection equipment, and a specific intensity value is calculated; and finally, carrying out spatial superposition on the corrected thermal imaging data and the accurate sound wave detection data, generating a global concrete strength distribution map through an interpolation algorithm, and finally, carrying out rechecking through an automatic resiliometer. Compared with the traditional technology, that is, on-site constructors manually use a rebound apparatus to detect the wall, the method provided by the invention overcomes the limitation of a single detection method through organic combination of multiple detection means, remarkably improves the accuracy and comprehensiveness of concrete strength distribution detection, and has the advantages of reducing the use frequency of the rebound apparatus and reducing the construction cost. While the labor intensity of constructors is reduced, the accuracy of measuring and calculating the strength of the concrete member can be further improved.

The invention discloses a method and a system for generating a sound field capable of perceiving rhythm characteristics. The method comprises the following steps of: determining a group of acoustic guidance parameters containing target rhythm information, and driving an excitation mechanism to excite one or more physical resonators according to the acoustic guidance parameters so as to generate a basic acoustic environment of which the acoustic characteristics are completely dominated by the physical attributes of the resonators. The physical acoustic environment forms a sound field which covers a range of 1-100 Hz and has a perceivable rhythm characteristic through an endogenous acoustic beat effect or isochronous sound effect response of the physical acoustic environment. By returning the source of physical vibration, the technical defects of lack of physical reality and unnatural auditory experience of the existing electronic synthesis acoustic technology are solved, a sound field generation mode which is real and natural in acoustic performance and can be efficiently synchronized with a human body perception rule is created, and the sound field generation mode can be collaboratively presented with conventional audio to enhance immersion.