26 results about "Sound perception" patented technology

An auditory neural interface device for sound perception by an individual that may be used as a hearing aid. The auditory neural interface device includes a receiver configured to receive sound signals, a processor operably connected to the receiver and configured to encode a received sound signal as a multi-channel neurostimulation signal, and a neurostimulation device operably connected to the processor and configured to apply the multi-channel neurostimulation signal to a neurostimulation electrode of the individual. The neurostimulation signal is configured to directly stimulate afferent sensory neurons of the central nervous system of the individual and thereby to elicit, for each channel of the neurostimulation signal, one or more non-auditory, preferably somatosensory, perceptions in a cortex area of the individual. Each channel of the neurostimulation signal is associated with a different non-auditory perception.

The invention relates to a vehicle automatic test method and system based on a body robot, and the method comprises the steps: obtaining a test task of the body robot, and the test task is a task for simulating the operation behavior of a user on a vehicle; decomposing the test task into an executable subtask sequence according to the test type and the environmental condition; and controlling the robot to execute the current subtask according to the priority of the subtask sequence, monitoring behavior actions of the vehicle when the robot executes the current subtask, and recording a task execution result of the robot. Therefore, the problems that a traditional automobile function testing method depends on manpower, is low in testing efficiency and hard to cover a dynamic scene, network testing is split in testing, and the man-machine cooperation efficiency is low are solved, the dependence of the testing on the manpower is reduced, the testing efficiency and the testing quality are improved, meanwhile, network-function integrated testing is guaranteed, and the testing efficiency is improved. Automatic testing of the automobile in a complex environment is realized by using the robot with the body based on vision, sound perception and information interaction cooperation.

The invention discloses an intelligent AI construction method and system for track and field event referees, particularly relates to the technical field of image recognition and behavior judgment, and is used for solving the problem that the track and field event referees have many misjudgments and disputes. Time synchronization of a starting area image sequence and a starting gun sound signal is carried out through an image acquisition device and a sound sensing device, a standardized starting response sequence is constructed, a lower limb key point track is extracted from the sequence, the starting moment of a starting action is analyzed in combination with displacement and speed change, whether a false start behavior exists or not is judged, and the judgment result is accurate. The extracted foot points are mapped to a unified reference plane, the shielding level is judged, the penalty confidence coefficient is constructed in combination with image definition, the penalty confidence coefficient and a penalty result jointly form a referee interaction frame set, the referee interaction frame set is presented in an auxiliary judgment interface to be rechecked and confirmed by a referee, and then referee modification behaviors serve as difference samples to be fed back. And through optimization of an incremental training mechanism, the controllability and continuous optimization capability of the penalty process are improved.

The invention discloses a sound sensing method, apparatus and device, and a computer readable storage medium. The method comprises the steps of obtaining first mixed signals obtained by reflection after a radar transmits first frequency modulation pulse signals; performing discrete Fourier transform on each first mixed signal, and extracting to obtain a first phase set corresponding to each first distance unit in the first phase matrix; extracting a first sound signal containing noise from each first mixed signal according to the first phase set corresponding to each first distance unit; performing compressed sensing on the first sound signal to obtain a first compressed signal; and performing sound sensing on the first compressed signal by using a target sound sensing model obtained based on generative adversarial network training. According to the method and the device, the processing capability of the target sound sensing model on the problems of baseline fluctuation, nonlinear mapping and the like existing in the original sound sensing signal is ensured, the calculation complexity of the model is reduced, and the robustness of the model is improved.

Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

The application discloses a kind of for track and field sports event judge intelligent AI construction method and system, specifically related to image recognition and behavior determination technical field, for solving the problem of multiple track and field event judge misjudgment dispute;The application carries out the time synchronization of starting area image sequence and starting pistol signal by image acquisition device and sound perception equipment, constructs standardization starting response sequence, extracts lower limb key point trajectory from the sequence, analyzes starting action starting time by combining displacement and speed change, judges whether there is sprinting behavior, and the foot point extracted is mapped to unified reference plane, judges shielding level, constructs penalty confidence in conjunction with image definition, penalty confidence and penalty result jointly form judge interactive frame set, present in auxiliary determination interface, for judge to review and confirm, and then judge modification behavior is used as difference sample and is fed back, is optimized by incremental training mechanism, improve the controllability and continuous optimization ability of penalty process.

The invention relates to adaptive signal processing for human voice control and acoustic feedback management. More particularly, it concerns a system and method for detecting and cancelling a person's own voice, as may be perceived through airborne, bone, and soft-tissue conduction. The invention also covers related calibration, adaptive filtering, and neural-network implementations for such systems. The present invention represents a system and method for cancelling a perception of a user's own voice as perceived through airborne, bone, and soft-tissue conduction paths. The suggested solution may operate with minimal latency, adapt to individual anatomical and environmental conditions, and maintain transparency to external sounds. Furthermore, the solution incorporates calibration routines to accurately model the transmission characteristics of these paths. It also allows to employ adaptive or machine-learning techniques to refine cancellation performance in real time.

The application discloses a vehicle exterior sound reconstruction method and device for in-vehicle partition perception and electronic equipment, and mainly has the following design concept: sound pickup and filtering and noise reduction processing are performed by a sound pickup device in a vehicle exterior area, and further, multi-dimensional monitoring of the vehicle exterior environment can be performed by coupling vehicle exterior visual information to guide identification and type judgment of the required external environment sound information for reconstruction; then, different reconstruction modes are distinguished by user instructions, and in an automatic reconstruction scene, the reconstruction sound effects that can be independently perceived are output to each in-vehicle partition, and in a scene with user intervention, the user instructions and user portraits are integrated to realize targeted pushing of the required vehicle exterior environment sound to the target driver and passenger in different in-vehicle partitions, so that the in-vehicle driver and passenger can have a vehicle exterior sound restoration and reproduction effect closer to their daily needs and experience habits, and the high-degree-of-freedom sound perception experience of the driver and passenger and the vehicle safety are improved.

The application discloses a self-adaptive environmental sound emotion recognition method and device, and the method comprises the following steps: collecting environmental sound by using crowd-sourcing audio data and a mobile device, and labeling the environmental sound to construct an environmental sound sample library; performing self-adaptive segmentation on sound data in the sample library through audio signal energy change to obtain sound data of different lengths; extracting sound perception features based on the perception characteristics of human ears for the sound data of different lengths obtained through segmentation; taking the sound perception features as input, performing environmental sound emotion training through a recurrent neural network method of a long short-term memory network, and performing emotion prediction on actually collected environmental sound data by using the trained model.

The invention relates to the technical field of intelligent adjustment of audio equipment, and discloses a system for automatically adjusting loudspeaker volume and sound effect according to wind sound volume, which comprises a wind noise acquisition module, an audio processing module, a main control module and a loudspeaker module, and is characterized in that the modules are sequentially in signal transmission connection. The loudspeaker volume and the sound effect type are dynamically adjusted according to the wind noise level, the wind noise is not counteracted to retain environment sound perception, and the problems that an existing noise reduction scheme is not real, influences safety and is not adaptive to the wind noise adjustment sound effect are solved. According to the invention, the wind noise acquisition module adopts a loudspeaker periphery distributed microphone layout, and captures a wind noise and environmental noise mixed signal near a loudspeaker at 360 degrees, thereby avoiding irrelevant noise interference; the audio processing module separates and recognizes the wind noise through a special DSP algorithm, and accurately judges the wind noise level by combining with the comparison of a wind noise feature database, thereby providing a reliable basis for adjustment, and overcoming the defects of inaccurate collection and fuzzy recognition of traditional equipment.

The invention relates to the field of smart parking lots, and discloses a vehicle behavior monitoring management platform for a smart parking lot, which comprises a sound sensing module, a sound source positioning module, a candidate area limiting module, a behavior period visual analysis module, a responsibility judgment module and an information output module, the system collects environment sound in real time through a sound sensing module, and extracts characteristic audio data and triggers an analysis process after detecting a friction type high-frequency signal with a rubbing characteristic; spatial azimuth information of a rubbing sound source is determined through a sound source positioning module, and a suspected rubbing area and a rubbed vehicle are limited; recognizing the approaching vehicle and extracting the track path of the approaching vehicle by combining the image track and the dynamic behavior characteristics in the behavior period; and the responsibility judgment module outputs a suspected responsibility vehicle according to the matching relationship among the trajectory, the approaching time and the sound source direction in combination with a scoring model. The system is non-intrusive, has high robustness, and is suitable for the intelligent judgment capability of the rubbing behavior of non-cooperative vehicle recognition.

The application discloses a sound perception-based electronic pet behavior triggering method, and relates to the technical field of intelligent interaction.The method comprises the following steps: collecting environmental sound signals through a microphone array and constructing a sound feature vector, determining sound intensity levels, sound source directions, and user voice classes, environmental event sound classes, and third-party biological sound classes; analyzing different sound classes to obtain user instruction intentions, user emotion labels, and sound event types; dynamically updating in combination with current emotion parameters and energy parameters of the electronic pet; generating priority behavior instructions based on the above information and sending the priority behavior instructions to an action execution module; and monitoring the short-term energy of the electronic pet in real time during the execution process and performing self-noise control.The technical problems of single sound processing, rigid state updating, serious self-noise interference, and lack of continuity of behavior response in the life state of the existing electronic pet are solved.

The invention belongs to the technical field of smart home and health monitoring, and particularly relates to an intelligent sleep regulation system integrating light hypnosis and infrared-sound perception, which comprises a data acquisition module, an intelligent analysis processing module, an environment regulation and control system and a photocatalytic hypnosis module, according to the photocatalytic hypnosis device, the photocatalytic hypnosis module actively catalyzes and decomposes organic volatile matters in indoor air through a photocatalytic reaction device with a specific wavelength, and a specific-wavelength secondary light source capable of promoting natural synthesis of human body melatonin is generated in situ in the process. In the process, the multi-mode sensor collects physiological data and environment data of the user in real time, comprehensive analysis is conducted through the intelligent analysis processing module, environment parameters are dynamically adjusted, starting and stopping, intensity and spectrum output of the photocatalytic reaction can be accurately controlled, and active and non-intrusive adjustment of the circadian rhythm of the user is achieved. According to the invention, the crossing from environmental regulation to active physiological intervention is realized, and the sleep induction and maintenance effect is obviously improved.

In a sound reproduction method in which a user (99) is caused to perceive a first sound as a sound arriving from a first position (P1) on a three-dimensional sound field and is caused to perceive a second sound as a sound arriving from a second position (P2) different from the first position (P1), the method includes: a step (S102) of acquiring a moving speed of a head of the user (99); and a step of generating an output sound signal for causing the user to perceive a sound arriving from a prescribed position on the three-dimensional sound field, in which, in a case where the acquired moving speed is greater than a first threshold value, an output sound signal for causing the user (99) to perceive the first sound and the second sound as sounds arriving from a third position (P3) between the first position (P1) and the second position (P2) is generated.

The application discloses an in-vehicle user sub-area sound perception method and device and electronic equipment. The main idea of the application is as follows: obtaining a user subjective transmission intention according to a voice interaction of a plurality of sub-areas in a vehicle or triggering real-time sound pickup of a corresponding outside area based on automatic control logic, and outputting sound pickup data outside the vehicle to a speaker involved in the sub-area in the vehicle according to a preset mixing logic, so that users at different positions in the vehicle can independently perceive the sound of the outside environment, and the overall vehicle experience of passengers in the vehicle is improved. Compared with the prior art, the application effectively and directionally feeds back the sound pickup data outside the vehicle to the passengers in the corresponding area in the vehicle, so that the users in different spaces in the vehicle can independently perceive the sound information of the specific outside area required by the user, and the user intention is combined with intelligent decision-making to create a higher degree of freedom in the vehicle.

This application provides a sound perception and localization method for humanoid robots, relating to the field of robotics. It constructs a basic three-dimensional sampling array by scientifically arranging four microphones, employing high-precision omnidirectional condenser microphones to achieve distortion-free acquisition of environmental sound signals. Simultaneously, it outputs raw sound signal data, precise sound pressure amplitude data, and related identification information. The raw sound signal is preprocessed using A-weighted sound levels that conform to human hearing characteristics, while filtering out DC components and high-frequency interference noise to output a human-like sound signal. Then, based on the theory of pulsating spherical source radiation sound field and a point source approximation model, combined with the human-like sound pressure data acquired by the microphone array and preset coordinates, the three-dimensional spatial coordinates of the sound source are accurately calculated. Multiple sound source coordinate results are obtained through multi-microphone array combination calculations, thereby achieving accurate judgment and high-precision localization of the environmental sound source and its location.

This invention relates to a control method and system for a movie theater massage chair based on sound perception. The method includes the following steps: acquiring raw sound during movie projection and preprocessing it; extracting features from the preprocessed raw sound to form a sound feature sequence, and inputting it into a sound recognition model for scene recognition, outputting the scene category and corresponding confidence score; matching a basic massage mode from a massage mode library based on the scene category; adaptively adjusting the basic massage mode based on the confidence score to generate a final massage mode; and controlling the massage chair to perform massage actions based on the final massage mode. This invention can identify the movie projection status and control the massage chair without relying on external interfaces, achieving a natural linkage between the massage rhythm and the movie rhythm, enhancing the immersive movie-watching experience.

A multi-mode hearing stimulation method for stimulating the perception of hearing in a subject. The method includes generating, based on sound signals representative of multi-channel sound, two or more of multi-channel electrical stimulation signals, bone conduction stimulation signals, and audio stimulation signals. The electrical stimulation signals are configured to cause electrical stimulation of hearing perception, including lateralization of hearing perception. The bone conduction stimulation signals are configured to produce vibrations causing bone conduction stimulation of hearing perception. The audio stimulation signals are configured to produce air conducted pressure wave sound. Embodiments comprise obtaining compensation information for use in connection with a multi-mode hearing stimulation system. The compensation information may be obtained by concurrently applying the electrical stimulation, bone stimulation or pressure wave sound to the subject, and receiving and storing as compensation information, information representative of a direction from which the subject perceived the resulting perceptions of sound.

The present invention discloses a two-stage speech noise reduction method based on enhanced spectral subtraction and Kalman filtering, as well as its device and storage medium. The method comprises the following steps: performing preliminary noise reduction on the speech signal in the frequency domain by using enhanced spectral subtraction; identifying the state space model parameters of the speech signal based on a linear predictive coding algorithm, and performing secondary noise reduction on the sound signal in the time domain by using a Kalman filter algorithm; and outputting noise-reduced speech after repeating the parameter identification and secondary noise reduction process on the frame-by-frame signal multiple times. The method of the present invention can effectively filter out environmental noise in a complex noise environment and improve the quality of the speech signal. The method is suitable for single-microphone noise reduction of a cochlear implant and can achieve efficient noise reduction in a cochlear implant with limited computing resources, thereby improving the wearer's sound perception ability.

Presented herein are substantially automated techniques that enable an electro-acoustic or other hearing prosthesis implanted in a recipient to use objective measurements to determine when the recipient is likely experiencing sound perception changes. Once one or more perception changes are detected, the hearing prosthesis may initiate one or more remedial actions to, for example, address the perception changes. As described further below, the one or more remedial actions may include adjustments to the recipient's operational map to reverse the one or more perception changes.

A computer-implemented method and system for predicting device location includes recording a sound record using a microphone on a first device; processing the sound record to extract a feature corresponding to a multipath version of a sound sample played by a second device; based on the extracted features, classifying the physical location of the second device into one of (i) the second device is located in the same space as the first device or (ii) the second device is not located in the same space as the first device; an operation is performed on the first device based on the classification.

The invention relates to the technical field of air conditioners, discloses a voice air conditioner response parameter automatic adjusting method and a voice air conditioner system, and solves the problem that user experience is affected due to the fact that existing voice air conditioner response parameters are fixed, perception is simplified and interaction lacks pertinence. In the scheme of the invention, space perception and sound perception are respectively carried out based on a millimeter wave radar and a matrix microphone, target personnel information is obtained through signal processing, a voice control instruction is separated from environment sound, and a sound source direction is estimated; the position information of the target person is matched with the sound source direction, the position information of the current speaker is locked, a corresponding response parameter adjustment strategy is generated, and a volume adjustment control instruction and a directional sound beam control instruction are generated according to the response parameter adjustment strategy; and finally, according to the volume adjustment control instruction, controlling the audio amplifier to adjust the volume of the voice response, and according to the directional sound beam control instruction, controlling the multichannel loudspeaker array to adjust the sound direction of the voice response.

The present disclosure generally relates to auditory nerve stimulation to produce sound perception in the brain of a subject, such as an animal or human. In one form, a system includes an implantable electrode array that includes a plurality of spaced apart microneedles. The system also includes a first electrical lead electrically coupled to and extending from the implantable electrode array, and an auditory signaling device configured to generate one or more electrical signals representative of communications received from an external processor. The interposer is configured to electrically couple the implantable electrode array and the auditory signaling device in an arrangement in which one or more electrical signals generated by the auditory signaling device can be transmitted through the first electrical lead to the implantable electrode array. Various novel stimulation strategies, such as position modulated stimulation signals, may be employed.

The application discloses a new energy automobile in-vehicle sound signal output method and related equipment, and relates to the technical field of new energy automobiles, and the method comprises the following steps: collecting driving parameters and in-vehicle noise signals when the new energy automobile is driving; generating a noise reduction sound signal based on the in-vehicle noise signals, wherein the noise reduction sound signal is a sound signal used for canceling the in-vehicle noise signals; generating a simulation sound signal based on the driving parameters, wherein the simulation sound signal is a sound signal that changes with the driving parameters; synthesizing the noise reduction sound signal and the simulation sound signal to obtain a fusion sound signal, and outputting the fusion sound signal through a loudspeaker. The application can balance the demand for noise suppression and sound experience by fusing and outputting the noise reduction sound signal and the simulation sound signal, reduces noise, increases the driving sound perception of the driver and passengers to the new energy automobile, and can improve the riding comfort and driving experience.

To provide a speed meter and a program therefor, in which the speed meter promotes a driver's attention directed to constant output, such as music and radio broadcasting or the like that are simultaneously outputted in a vehicle, to be directed to output of a sound speed meter as vehicle speed increases, in a sound speed meter that causes the driver to grasp a speed of the vehicle according to sound by dividing a speed range sectioned at constant speed intervals into different instruments or musical pieces, separately from a speed meter attached to a vehicle.SOLUTION: Both speed recognition and forward attention can be achieved by recognizing vehicle speed by utilizing the sense of hearing. However, since constant output, such as music and radio broadcasting, exists in a vehicle, sound volume of the constant output is gradually lowered as the speed of the vehicle increases, thereby output of a speed meter according to sound is relatively emphasized, and is caused to work effectively as a warning of speed violation or the like.SELECTED DRAWING: Figure 3

The application provides an autonomous patrol robot system based on multi-sensor fusion and intelligent anomaly recognition. By integrating multi-dimensional perception data such as vision, sound, and environment, it breaks through the limitations of traditional single sensors and significantly improves the accuracy and scene adaptability of anomaly recognition. For example, in personnel behavior recognition, the thermal imaging camera of the visual perception unit can capture human temperature characteristics at night or in smoky environments. Combined with the microphone array positioning of the sound perception unit, the gas sensor of the environmental monitoring unit detects the concentration of flammable gas. After data fusion, the AI anomaly recognition and behavior analysis module can more accurately determine whether there is an emergency situation of fire accompanied by trapped personnel, avoiding misjudgment caused by environmental interference of single visual or sound sensors.