20 results about "Source orientation" patented technology

A media system and a method of using the media system to reproduce spatial audio based on head-to-torso orientation, are described. The method includes determining a head-to-source orientation and a head-to-torso orientation based on head orientation data generated by a head tracking device. Determining the head-to-torso orientation includes determining torso movements based on movements of the head. The torso can be determined to move when the head movements meet a head movement condition, such as a predetermined angle of movement or pattern of movement. A binaural audio filter that is based on a head-related transfer function corresponding to both the head-to-source orientation and the head-to-torso orientation is applied to an audio input signal to generate an audio output signal. The audio output signal is played to accurately recreate spatial audio having sounds emitted to the user by a sound source. Other aspects are also described and claimed.

The invention discloses a seismic source positioning method considering the influence of an abnormal value and a dynamic wave velocity, and the method comprises the steps: arranging sensors to detect sound waves emitted by a seismic source, and observing the time when the sound waves reach each sensor; subtracting the control equation established based on the reference sensor from the control equation established based on the measurement sensor, and carrying out linearization and matrix representation on a nonlinear equation line obtained by subtraction; the matrix is solved, an analytic solution enabling the sum of squares of the residual errors to be minimum is found, the obtained analytic solution is substituted into an overdetermined matrix equation to obtain a fitting model, and weight estimation is conducted according to the relation between the residual errors and weights; iteration is carried out between weight estimation and overdetermined matrix solving, after optimal weight estimation is obtained, overdetermined matrix solving is completed according to the optimal weight, and a final seismic source positioning result is obtained based on an analytical solution. According to the method, the technical problem that the influence of abnormal values and wave velocity measurement errors on the seismic source positioning precision in a complex engineering environment is large is solved, and the fault tolerance and the real-time performance of seismic source positioning are improved.

The invention provides a sound source positioning method and device, equipment and a medium, and the method comprises the steps: carrying out the sound collection of a detected sound source, and obtaining a multi-channel microphone signal; according to the multi-channel microphone signal, determining a predicted positioning feature, the predicted positioning feature representing a time difference of arrival (TDOA) of direct path propagation between the detected sound source and different microphones; determining a reference positioning feature corresponding to each candidate direction; and determining a target prediction feature from the plurality of reference positioning features according to the prediction positioning feature, and taking a candidate direction corresponding to the target prediction feature as a positioning result of the detected sound source, thereby solving the technical problem of inaccurate sound source positioning in the prior art.

This application belongs to the field of mine radiation protection and safety monitoring technology, specifically relating to a method and system for locating radon anomaly sources in mines based on causal graphs. The method includes: standardizing the original data matrix to obtain a feature matrix; obtaining a directed acyclic graph (DAG) based on the feature matrix; using the DAG and the set of parent nodes, constructing marginal distributions for the root node and conditional distribution estimators for the child nodes to obtain a global distribution estimator; calculating the intervention distribution of the feature subset based on the global distribution estimator; calculating the causal Shapley value based on the intervention distribution; retraining the anomaly prediction model after feature filtering to obtain the final anomaly source model; and inputting actual radon concentration time-series data into the final anomaly source model to obtain the anomaly source location. This application has the effect of accurately distinguishing anomaly sources at different locations and achieving globally convergent radon anomaly source location.

The application discloses a sound source positioning method, device and electronic equipment, and the method comprises the following steps: step S1, converting any two microphone signals to a frequency domain, and obtaining a polar coordinate expression form of a frequency spectrum; step S2, calculating a maximum phase difference slope of the microphone signals according to a microphone distance, and dividing the phase difference slope according to accuracy requirements, and sequentially compensating the second microphone, and restoring the compensation frequency spectrum of the second microphone according to the compensated phase; step S3, performing difference or correlation calculation on the first microphone frequency spectrum signal and the second microphone compensation signal, and selecting a slope that makes the energy of the difference result minimum or the correlation maximum; and step S4, inversely deducing the delay of the signal to the microphone according to the obtained slope, and obtaining the signal direction according to the delay.

The invention discloses a far-field accidental sound source positioning method, system, medium and equipment, and the method comprises the steps: collecting an audio signal through a sensor, and carrying out the preprocessing of the audio signal, and obtaining a preprocessing signal; performing multi-band energy analysis to calculate short-time energy of each band, updating background energy estimation, and dynamically adjusting a detection threshold value; meanwhile, the processed audio features and real-time environment features are fused into multi-modal features, the multi-modal features are input into an accidental event detector for detection statistic calculation, and when the detection statistic reaches a self-adaptive threshold value, an accidental event detection stage is entered: a time window containing an accidental event in the preprocessed signal is determined, extended interception is carried out, and a time window containing the accidental event is obtained; the signals of the sensors in the corresponding time periods are extracted; fast TDOA estimation is carried out, abnormal estimation values are eliminated, and an estimation result is obtained; calculating the three-dimensional coordinates of the sound source by combining the position of the sensor; and calculating positioning confidence evaluation to obtain an effective positioning result. According to the invention, adaptive sound source localization of a complex urban environment is realized.

Embodiments of the present application relate to the technical field of sound source positioning, and disclose a position coding method for two-dimensional sound source positioning without quantization error, which comprises: dividing a space where a sound source is located into a plurality of grids; based on a preset resolution, respectively discretizing the space into a plurality of segments in the x-axis direction and the y-axis direction according to the lengths of the space in the x-axis direction and the y-axis direction, and determining the category of the sound source in the x-axis direction and the category of the sound source in the y-axis direction according to the coordinates of the sound source; based on the category of the sound source in the x-axis direction, using an unbiased label distribution vector to perform position coding of the sound source in the x-axis direction, and based on the category of the sound source in the y-axis direction, using an unbiased label distribution vector to perform position coding of the sound source in the y-axis direction; and based on and generating a two-dimensional unbiased label distribution matrix ρ, completing the position coding of the sound source, which can eliminate quantization error and greatly improve the accuracy of sound source positioning.

The present application relates to the technical field of sound source positioning, and particularly relates to a rotating mechanical fault source positioning method based on optimal collection points of a mobile robot, which comprises the following steps: acquiring an initial sound signal; determining an optimal collection angle by comparing signal qualities at different positions; determining an optimal collection distance; determining an optimal collection height; acquiring a target frequency for fixed frequency band sound source positioning through fault feature analysis; and visually determining a fault source position through sound field imaging. The present application realizes sound signal collection through flexible movement of the robot, gradually adjusts collection parameters, compares signal qualities at different angles, distances and heights through a sound array, and determines an optimal collection position, so as to ensure adaptive detection of an object to be identified, ensure that the collected sound signal can reflect fault source features to the greatest extent, thereby improving positioning accuracy, visually display the fault source position through sound field imaging combined with a video image and a sound field image, and enhance the reliability and intuitiveness of positioning.

The invention relates to the acoustic imaging technology, and provides a single sound source positioning method and device, an acoustic imager and a computer storage medium, the method and device are applied to the acoustic imager, the acoustic imager comprises a microphone array, and the method comprises the following steps: obtaining a plurality of reference sound source drop points at different moments, the reference sound source drop point at each moment represents the maximum sound intensity point of sound from a plurality of sound sources acquired by the microphone array at each moment; according to the positions of all the reference sound source drop points in a preset sound intensity distribution matrix, a target area with the highest distribution density of the reference sound source drop points is determined, and each element in the preset sound intensity distribution matrix corresponds to one sound source drop point where sound can reach; and positioning the target sound source according to the sound source drop point in the target area. According to the invention, stable and reliable single sound source positioning can be realized, and the sound source visualization effect is improved.

Methods, apparatus, systems, and articles of manufacture to determine a location of an audio source are disclosed. Disclosed example apparatus are to determine respective error values for corresponding ones of a first dataset of time difference of arrival (TDOA) distance values between pairs of acoustic sensors, the error values based on a cost function, a first set of constraints and a second set of constraints. Disclosed example apparatus are also to adjust the corresponding ones of the first dataset of TDOA distance values based on the respective error values to determine a second dataset of TDOA distance values. Disclosed example apparatus are further to output the second dataset of TDOA distance values to source location circuitry that is to determine the location of the audio source.

This disclosure discloses a method and device for locating stray current interference sources. The method includes: S100: acquiring the time difference measurement value T of the stray current signal released by the stray current interference source to be located arriving at each measuring point. m g; S200: Construct a stray current interference source localization model; S300: Train the stray current interference source localization model to obtain a trained stray current interference source localization model; S400: Transfer the time difference measurement value T m The system uses a pre-trained stray current interference source localization model as input to locate the stray current interference source. This invention can effectively locate stray current sources and underground stray current sources.

The present application provides a method, device, terminal, storage medium and product for determining the direction of a sound source, which belongs to the field of sound source positioning technology. The method includes: determining the voice signal of the collected target voice signal in at least one sound pickup direction; if there is a similarity greater than a preset similarity threshold value among the similarities corresponding to the at least one sound pickup direction, then determining the initial sound source direction, the similarity is the similarity between the voice signal corresponding to the sound pickup direction and the preset wake-up word; if the angle between the initial sound source direction and the target sound pickup direction is greater than the preset angle threshold value, then controlling the camera on the terminal to rotate and collect images, and determining the target sound source direction based on the object recognition result of the currently collected image and the current orientation of the camera, the target sound source direction is the direction corresponding to the maximum similarity in the at least one sound pickup direction. The accuracy of the target sound source direction determined by this method is high.

This application relates to the field of positioning technology, and discloses a multi-source cooperative positioning method, device, and medium. The method includes: acquiring multi-source positioning information uploaded by a target device; and locating each device to be located based on the multi-source positioning information. The target device is one of multiple devices to be located within an effective positioning area. Each device to be located periodically performs wireless positioning on the other devices, with the positioning times staggered. When a device to be located performs wireless positioning on another device, that device is the target device. The multi-source positioning information includes several types of current wireless positioning information for each device to be located and the inertial navigation information of the target device. This application's embodiments improve the accuracy of regional positioning through multi-source signal joint positioning.

The application discloses a spatial sound source positioning method and device, equipment and storage medium, relates to the sound source positioning field, and includes: using a target microphone array to record a sound source excitation signal sent by a sound source to be positioned to generate corresponding microphone signals; the target microphone array includes three target microphones, a target line between two target microphones is located on a horizontal plane, and the other target microphone is located on a vertical plane corresponding to the target line; determining a first cross-correlation result corresponding to the sound source excitation signal and each microphone signal to determine the absolute delay of the sound source excitation signal to each target microphone; cross-correlating each microphone signal in pairs to determine a second cross-correlation result and determine the relative delay difference between each target microphone; and determining the spatial three-dimensional coordinates corresponding to the sound source to be positioned based on the absolute delay and the relative delay difference by using a target optimization function. The application realizes high-precision sound source spatial positioning by using a small number of microphones.

The invention provides a sound source positioning method and device, computer equipment and a storage medium. The method comprises the following steps: forming input data based on a space range corresponding to a target space and a prediction moment; inputting the input data into a pre-trained physical constraint neural network to obtain sound pressure information of the sound in the target space at the prediction moment; wherein the physical constraint neural network takes an acoustic wave equation as a physical equation, takes initial sound pressure distribution and change rate distribution of initial sound pressure as initial conditions, and takes an impedance boundary condition as a boundary condition; actual measurement data collected by a distributed acoustic sensing DAS system deployed in the target space is used as data constraint training; and based on the sound pressure information, determining position information of a target sound source emitting the sound in the target space.

The present application relates to a kind of composite structure collision source positioning method based on acoustic emission time difference approximation, comprising 1) obtaining the wave velocity-angle function relationship of acoustic signal in composite plate test piece;2) obtaining the actual time difference vector of acoustic signal to each receiving sensor;3) grid division;4) calculate theoretical time difference vector;5) coordinate positioning of collision source.The present application compares the theoretical time difference of receiving sensor with actual time difference, and by the way of approximating collision source, can effectively solve the collision source positioning problem of composite plate test piece, can effectively carry out the positioning of collision source, and positioning precision is high.

The application discloses a sound source positioning method and device, electronic equipment and storage medium. The method comprises the following steps: deploying at least three microphones around a sound source area; wherein the distribution directions of different microphones are different; determining spatial rectangular coordinate data of the microphones and sound pressure level data measured by the microphones; adjusting a predetermined sound source positioning function according to a sound pressure level attenuation coefficient of an environment where the sound source area is located, to obtain a target sound source positioning function; and positioning a target sound source in the sound source area according to the sound pressure level data, the spatial rectangular coordinate data and the target sound source positioning function. The target sound source positioning function is obtained by adjusting the sound pressure level attenuation coefficient of the sound source environment, and the target sound source is quickly positioned according to the sound pressure level data and the spatial rectangular coordinate data of the microphones deployed in the sound source area, so that the algorithm is simple, the hardware cost is low, and the environmental adaptability is strong.

The invention discloses an unmanned aerial vehicle sound source localization method and system based on an optimized bat algorithm, and relates to the technical field of unmanned aerial vehicles, and the method comprises the steps: generating the initial population distribution of the bat algorithm through chaotic mapping; improving a speed updating formula of the bat algorithm through the weight factor; updating the pulse emissivity and loudness of the bat algorithm through a dynamic adjustment mechanism; and applying the improved bat algorithm in spectrum peak search of the MUSIC algorithm to obtain an unmanned aerial vehicle sound source localization result. According to the method, a chaotic sequence is introduced to increase population diversity, an inertia weight is adaptively adjusted to update individual speed, a dynamic adjustment mechanism is introduced to balance searching and updating of an algorithm, an improved BA (bat) algorithm is applied to a spectrum peak searching process in a two-dimensional MUSIC algorithm, and a globally optimal solution is rapidly obtained.

The present application belongs to the technical field of microseismic source positioning, and particularly relates to a microseismic source positioning method without accurate time picking, which comprises the following steps: obtaining microseismic monitoring data of a plurality of sensors arranged in a monitoring area, extracting a microseismic wave arrival time segment of each sensor, and calculating an observed time difference interval of a sensor pair. Then, a theoretical time difference calculation model of the sensor pair is constructed based on a source position coordinate and a wave velocity. A time uncertainty parameter is introduced to establish a probability matching relationship between the theoretical time difference and the observed time difference interval, and a likelihood function is constructed. Finally, the source position and the wave velocity that maximize the likelihood function in a search space are searched as the final positioning result. The present application replaces the traditional accurate time point, relaxes the requirement for microseismic data picking accuracy, and effectively reduces the picking error caused by wave field complexity, equipment error and artificial factors.

The invention relates to the technical field of sound source positioning, in particular to a sound emission source positioning method based on Akaike information criterion correction arrival time. The method comprises the following steps: firstly, collecting multichannel acoustic emission waveform data and preprocessing, including de-noising and filtering, baseline correction and the like; then, the accurate arrival time point of the acoustic emission signal is determined through the AIC criterion, fitting is conducted on the signal through an autoregression model, and the optimal segmentation point is selected as the arrival time point based on the residual variance; and then, constructing a time difference positioning equation set, carrying out source positioning through an improved time difference positioning algorithm, and screening effective observation data and eliminating exterior point observation in combination with an RANSAC (Random Sample Consensus) algorithm so as to improve the positioning accuracy. And finally, positioning result optimization is carried out based on a Chan closed-form solution and an LM nonlinear least square method, and the optimal position coordinates of the acoustic emission source are obtained. Through the method, noise interference can be effectively reduced, the positioning precision is improved, and sound emission source positioning in a complex environment is realized.