13 results about "Sound perception" patented technology

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 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 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.

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.

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 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.