42 results about "Soundscape" patented technology

The invention relates to an acousto-optic coupled intelligent sleep aiding method and system. The method comprises the following steps: constructing an initial sound scene environment and controlling sound and light output to smoothly transit to a reference value; collecting a user respiration signal to obtain a respiration rhythm; adjusting the sound and light output rhythm to be synchronous with the respiratory rhythm; coupling the acousto-optic output with the respiratory rhythm on the basis of keeping synchronization; executing acousto-optic guidance according to the selected sleep aiding mode and the acousto-optic coupling mode, and guiding the respiratory rhythm to a target frequency by adjusting an acousto-optic output change frequency; and when the user is in the sleep state, controlling the sound-light output to smoothly transit to a closed state. By adopting the method, dynamic synchronization and self-adaptive guidance of acousto-optic output and the breathing rhythm of the user can be realized, the problem of rhythm mismatch caused by fixed output rhythm of traditional sleep-aiding equipment is effectively solved, and the sleep-aiding effect is improved.

In various embodiments, a computer-implemented method for reproducing a simulated soundscape within a first vehicle, comprises receiving selection of the simulated soundscape within a vehicle cabin associated with the first vehicle, receiving a sensor input associated with the first vehicle, identifying a soundscape element based on the selected simulated soundscape, determining a sound corresponding to the soundscape element based on the sensor input, determining a location within the cabin of the plurality of sounds based on the selected simulated soundscape, and causing playback of the sound within the vehicle cabin based on the location.

The invention relates to the technical field of covert communication, in particular to a bionic covert communication method based on multi-sea-area dolphin voiceprint feature library matching, which comprises the following steps of: constructing a dynamic voiceprint feature library associated with sea area coordinates, dolphin species and voiceprints, and adjusting acoustic parameters in combination with real-time environment monitoring; communication information is encoded in a natural variation range of acoustic characteristics of the dolphin, bionic signals highly conforming to the sound scene of a target sea area are synthesized and emitted, low-recognizable and low-monitorable hidden data transmission between underwater equipment is achieved, meanwhile, false alarm of a marine mammal protection system is avoided, and the safety communication requirement of equipment such as an unmanned underwater vehicle is met.

The application belongs to the technical field of virtual reality, and particularly relates to a sound-driven VR serious game interaction control method for semi-blind people. The method comprises the following steps: constructing a 3D sound scene space and a motion guide field, and converting a motion path into a sound change rule; collecting and fusing user pose and physiological feedback signals in real time; dynamically adjusting sound source parameters and tactile feedback according to pose deviation to realize non-visual orientation guidance; performing boundary verification and area determination through ray projection to ensure interaction safety; synchronously processing collision by using a bounding box model and quaternion interpolation; and establishing a mapping model of emotional parameters and sound characteristics to synthesize exciting sound effects. Through multi-modal collaborative interaction, the application significantly improves the perception accuracy and safety of semi-blind users in a virtual space, realizes the cooperation of psychological intervention and motion rehabilitation, and has excellent real-time response capability.

The invention relates to the technical field of sound therapy relaxation and sleep aiding, in particular to a staged sound scene guided multi-sound-source relaxation and sleep aiding method. A multi-sound-source sound scene output model is constructed by taking a sound bowl as a core sound source, and a parameterized control structure of a sound source set and sound mixing gain is established. A time sequence model of four stages of entering, transition, maintaining and quitting resetting is constructed according to the respiration and pulse frequency of a user, and stable stage switching is achieved by combining continuous meeting of time criteria. Structured breathing guidance is introduced in the entering stage, a sound bowl is used as a sensing anchor point in the transition and maintenance stage, paragraph arrangement is adopted, binaural rhythms are selectively superposed, and sound sources are decreased progressively according to the priority and reset prompts are added in the exiting stage. And a personalized scheme is generated by recording user data self-adaptive adjustment parameters. According to the invention, stage switching is realized to fit the physiological state, individual differences are adapted, the relaxed state is ensured to be continuous and stable, the reset quit is stable and smooth, the application scene is diversified and wide, and the relaxed sleep-aiding effect and the overall use experience are remarkably improved.

A system for customization of on-road sound production for a vehicle includes one or more noise generators supported relative to the vehicle and configured to produce a soundscape in an environment of the vehicle. The system further includes memory storing instructions that, when executed by one or more processors, cause the processor(s) to generate the soundscape from a sound file based on an indication of a user-preferred sound file of multiple files, an environmental context surrounding the vehicle, or both. The instructions cause the processor(s) to determine whether an operational status of the vehicle is suitable for on-road operation. The instructions cause the processor(s) to further produce, in response to a determination that the operational status of the vehicle is suitable for on-road operation, the soundscape utilizing the noise generator(s) while the operational status of the vehicle is suitable for on-road operation.

The invention discloses a vehicle external sound intelligent screening and sound scene feedback system, and relates to the technical field of vehicles. The system comprises a data sensing module used for collecting external sound data and scene state data of a vehicle and transmitting the data to a data processing module; the data processing module is used for carrying out classification judgment on the external sound data of the vehicle to obtain a classification result, processing the external sound data of the vehicle according to a sound processing strategy corresponding to the classification result and the scene state data of the vehicle to obtain first sound data, and sending the first sound data to the server; the classification result and the first sound data are transmitted to an interaction output module; and the interactive output module is used for carrying out safety prompt according to the classification result and outputting the first sound data. According to the invention, the driving safety and the environment perception capability of people in the vehicle can be improved.

The invention belongs to the field of bird sound noise reduction, and discloses a bird sound noise reduction method and system for adaptive sub-band and acoustic index consistency loss of bird sound production, and the method comprises the steps: S1, carrying out the superposition synthesis of a clean bird sound sample and a noise sample, and generating a training sample; s2, processing the training sample to obtain a frequency band feature tensor; s3, performing time dimension and frequency dimension feature fusion processing on the frequency band feature tensor to obtain a fusion feature; and S4, performing calculation based on the fusion features, and reconstructing a de-noised bird sound audio signal. The high signal-to-noise ratio improvement, the distortion rate reduction and the target bird chirp audibility improvement are realized in the complex field sound scene, the accuracy of subsequent automatic identification and acoustic index calculation can be remarkably improved, and the method has important application value for ecological monitoring, bird protection and habitat evaluation.

The utility model discloses a sound scene enhancing device based on environmental perception, and relates to the technical field of acoustics. The system comprises a microphone array, a signal conditioning circuit, an analog-to-digital converter, a DSP processor, a sound scene database memory, a master control MCU, an FPGA beam controller, an audio synthesis chip, a power amplifier, a loudspeaker array and a noise classification coprocessor, the microphone array is electrically connected with the signal conditioning circuit, and the signal conditioning circuit is electrically connected with the analog-to-digital converter. The analog-to-digital converter is electrically connected with the DSP processor, the analog-to-digital converter is electrically connected with the master control MCU, the DSP processor is electrically connected with the sound scene database memory, the DSP processor is electrically connected with the noise classification coprocessor, the noise classification coprocessor is electrically connected with the master control MCU, the master control MCU is electrically connected with the sound scene database memory, and the master control MCU is electrically connected with the FPGA beam controller. The sound scene can be automatically adjusted according to environment changes.

As disclosed herein, a computer-implemented method for audio generation in mixed reality environments is provided. The method may include determining, based on a description of a soundscape of a mixed reality environment, a first prompt for a continuous audio signal associated with the soundscape and a second prompt for an intermittent audio signal associated with the soundscape. The method may include providing the first and second prompts to a model configured to determine at least one audio signal based on a prompt describing the audio signal. The method may include generating, by the model, a continuous audio signal and an intermittent audio signal. The method may include combining the continuous audio signal and the intermittent audio signal to generate a composite audio signal. The method may include rendering the composite audio signal in the mixed reality environment. A system and a non-transitory computer-readable storage medium are also disclosed.

The application provides a kind of multi-dimensional sound scene ecological element space layout optimization method and system, belongs to mechanical vibration measurement technical field field, this method includes integration three-dimensional point cloud and environmental parameter construction digital basement, establishes the native plant model containing growth and acoustic characteristics, generates the space sound effect contribution degree pressure field representing the noise reduction potential by reverse sound wave ray tracing, constructs the plant growth agent driven by the pressure field, runs the symbiotic simulation engine to generate the morphological dynamic evolution sequence, calculates the acoustic performance, ecological stability and landscape robustness index, and uses it as the fitness evaluation basis of evolution algorithm, iteratively optimizes the initial planting layout, the application realizes the coupling of acoustic physical simulation and plant growth competition logic, is used to guide the long-term planning and species configuration of ecological garden, improves the sound environment quality and succession stability of landscape.

The present application provides a kind of based on multi-model coupling sound scene ecological red line quantitative demarcation method and system.The present application constructs the cascade detection mechanism of generalized additive model and segmented regression combination, can accurately identify the ecosystem cliff type degradation node;Supporting scale response curve and random forest-variance inflation factor joint dimensionality reduction strategy, on the basis of eliminating multicollinearity interference, lock core driving factor, avoid the blindness of artificial specified spatial scale;And introduce non-parametric conditional inference tree to build multi-model cross-validation system, by calculating the deviation rate intelligent discrimination environmental heterogeneity, adaptive output rigid control boundary point or elastic early warning buffer zone, with multi-level dynamic backtracking mechanism realizes different habitat and data characteristics under multi-scene coverage, fully safeguards the algorithm coherence, result robustness and dynamic fault tolerance ability, for sound scene ecological red line scientific demarcation, accurate control and dynamic supervision provides stable and reliable technical support.

This invention discloses a generative acoustic scene underwater covert communication method based on message latent variable injection, comprising: acquiring a message to be sent and acoustic scene condition information of a target local sea area; inputting the message to be sent into a trained message encoding module for encoding processing to obtain message latent variables; injecting the message latent variables into a trained condition generation module so that the condition generation module generates an acoustic scene underwater acoustic payload waveform carrying the message to be sent under the constraints of the acoustic scene condition information; processing the acoustic scene underwater acoustic payload waveform to obtain a covert communication frame suitable for transmission, and transmitting the covert communication frame; thereby, by simultaneously realizing acoustic scene camouflage and message carrying during the generation of the acoustic scene underwater acoustic signal, underwater covert communication that balances the acoustic scene adaptability of the target local sea area, the low distinguishability of the generated signal, and the reliability of legitimate reception recovery after underwater acoustic propagation is achieved.

The application discloses a kind of bird voiceprint collection systems and devices based on AI voiceprint identification, it is related to bird voiceprint collection technical field, comprising: acoustic and environmental data acquisition unit, for obtaining original acoustic signal and synchronous collection environmental physical parameter;Environment state quantization unit, for quantifying to generate environmental stress factor;Sound source signal decoupling unit is configured to apply correctable soundscape channel operator, generate decoupling reliability factor;Voiceprint identification unit is used to analyze pure sound source signal, and output species identification confidence;Self-adaptive correction unit is used to determine correction learning rate, calculate channel model loss, and carry out closed-loop correction to soundscape channel operator, to adapt to the interference of environmental change to acoustic signal.The application realizes high robustness bird voiceprint collection, can adapt to environmental change, recover performance quickly through hierarchical correction and historical database, and improve identification reliability by combining multi-factor calculation loss.

A method includes determining, by a processor of an electronic device, current sound environment properties of an environment external to a user, current device properties of a sound playback device, and current media properties of media that is played through the sound playback device. The method further includes generating, by the processor based on (a) the current sound environment properties, (b) the current device properties, and (c) the current media properties, an adaptive masking soundscape that, when combined with external sounds in the environment, renders the external sounds less perceptible to the user. In addition, the method includes playing the adaptive masking soundscape through the sound playback device.

The invention belongs to the technical field of automobile noise control, and provides an automobile windowing noise reduction control method and system based on working condition self-adaption and application, and the method comprises the steps that when it is detected that an automobile meets active noise reduction conditions, multi-dimensional working condition data are synchronously collected; based on the multi-dimensional working condition data, the current driving working condition is determined through a wind noise-working condition prediction model, and airflow control parameters and acoustic control parameters are obtained through calculation; according to the airflow control parameters, an intelligent flow deflector array arranged on the upper edge of the vehicle window is driven to act to the target angle; meanwhile, according to the acoustic control parameters, sound signals inside and outside the vehicle are collected, and corresponding offset sound waves and optimized sound signals are output after acoustic processing; and when it is detected that the vehicle meets the maintenance condition, the intelligent flow deflector array is controlled to reset, and self-cleaning operation is executed on the intelligent flow deflector array. According to the invention, a dual noise reduction mechanism of active diversion and acoustic offset is adopted, the noise reduction effect is greatly improved, selective sound scene management can be realized, and the driving and riding comfort is improved.

This invention discloses a multi-labeled sound recognition method for birds, including a training phase and an inference phase. The training phase includes the following steps: inputting audio data labeled with multiple tags, and extracting three complementary acoustic representations in parallel through a multi-view feature extraction module. This application uses parallel configuration of Mel spectrogram extraction submodules, CQT spectrogram extraction submodules, and CWT spectrogram extraction submodules to capture complementary features in the audio signal related to human auditory perception, such as energy distribution, pitch and harmonic structure, transients, and sharp calls. Furthermore, the three acoustic representations are aligned in the time dimension to form a comprehensive multi-view feature representation. Compared to existing technologies using fixed view combinations or single feature extraction methods, this design effectively avoids the problem of single-view failure due to noise or occlusion, providing a rich and reliable feature foundation for subsequent recognition tasks and significantly improving feature adaptation capabilities in complex soundscape environments.

A sound system for a vehicle is configured to implement a soundscape that matches an environment around the vehicle. The sound system includes a noise meter that measures environmental noise generated around the vehicle, a vibration meter that measures vibration generated by the vehicle, and a processor connected with the noise meter and the vibration meter. The processor determines a noise type by analyzing features of the vibration and the environmental noise respectively measured by the vibration meter and the noise meter, selects a sound source matched with the noise type among sound sources previously stored in a database, and plays and outputs the selected sound source.

The invention belongs to the technical field of urban environment perception and smart city management, and particularly relates to an urban green land recovery benefit evaluation method and system based on a scene-sensitive audio-visual fusion model. The method comprises the following steps: synchronously acquiring video and audio data of the urban green land, extracting a visual element proportion and three types of sound scene proportions, and constructing an audio-visual comprehensive characteristic index; linear prediction sub-models are established for different space types such as parks, residential areas and streets, and a scene sensitivity coefficient matrix is formed; during evaluation, corresponding parameters are automatically called according to scene labels to complete differentiation prediction; and finally generating a recovery benefit distribution thermodynamic diagram and a diagnosis report in combination with the geographic position. According to the method, the limitation that a traditional model cannot distinguish scene differences is overcome, and scene-divided and high-precision intelligent evaluation of urban green land recovery benefits is realized.

The invention relates to the technical field of sleep aiding, in particular to an environment sound scene sleep aiding system and a method thereof.Multi-sensor data including light, body temperature, heart rate, sleeping postures, positions and the like are integrated through a central processing system, accurate judgment of the sleep depth of a user is achieved, the system is provided with a sensor set and a player, and the system is convenient to use. According to the method, user information is collected, customized sound scenes are played to assist sleep, the accuracy of sleep state detection is further improved through the innovative design of a Bluetooth module group and the cooperation of a master module and a slave module, the accuracy of sleep state judgment is remarkably improved by integrating multi-dimensional data and time node analysis, and better sleep-aiding experience is provided for a user.

The application discloses a kind of fusion ecological frequency priori and dynamic sound source perception's aliasing bird song intelligent separation method, belong to ecological acoustics signal processing and artificial intelligence technical field.For the problems such as large environmental noise interference, poor adaptability of fixed sound source quantity and bird song harmonic structure distortion of existing bird song separation method in complex field ecological environment, the application proposes: constructing ecological frequency priori weight matrix to adaptively weight enhancement for time-frequency spectrum;Dynamic perception of bird species number is generated using the number prediction network Corresponding separation mask;Harmonic continuity loss function is introduced to optimize the smoothness of time-frequency trajectory.The application can effectively improve the accuracy, robustness and open scene adaptability of bird song source separation in complex ecological sound scene, and can be widely used in field ecological monitoring, biodiversity assessment, passive acoustic monitoring and intelligent ecological perception system and other fields.

A stringed instrument in a construction similar to a guitar, with a neck (4), frets (3), and a soundhole (7) beneath which is a pivoting mechanism. This mechanism alternately brings a bow wheel and a striker wheel (16 and 18) into contact with the strings (5) via a drive and pivot crank (11) to excite them. The bow wheel and striker wheel are driven simultaneously by a gear mechanism (29). The resulting soundscape complements the guitar's sound with that of a bowed instrument similar to a hurdy-gurdy. The enclosed body, with its inner frame (20) and the spring-loaded pivot bearings (21) anchored within it, allows the two wheels to engage alternately directly below the strings.

A system for recognizing soundscapes includes audio extractors, audio sampling and modulation circuits, an audio recognition device, environment detectors, a data integration circuit, a wireless communication module, a wireless base station, and a cloud server. The audio extractors extract soundscape signals so that the audio sampling and modulation circuits generate audio modulation signals. The audio recognition device recognizes the audio modulation signals to generate audio features. Based on biological audio models respectively corresponding to different species, the audio recognition device determines the number of the species corresponding to the audio features, thereby adjusting the sampling rate, the working period, or both of the soundscape signal extracted by each audio extractor. The environment detectors detect different environment-related data. The data integration circuit synchronizes the environment-related data, the audio features, the species corresponding thereto and uploads them to the server through the base station and the communication module.

The application provides a sound scene cognition and multi-source noise reduction unmanned aerial vehicle ecological intelligent perception monitoring system, and belongs to the technical field of unmanned aerial vehicle acoustic monitoring, and comprises: a multi-source dynamic noise reduction and sound scene collection module, which is used for constructing a noise field and reducing noise through an unmanned aerial vehicle flight state to obtain an initial ecological sound scene signal; a sparsity evolution sound scene separation module, which is used for performing frequency domain transformation and dynamic sparse separation on the initial ecological sound scene signal to obtain a species voiceprint feature matrix; a sound scene semantic navigation decision module, which is used for fusing unmanned aerial vehicle position data and the species voiceprint feature matrix to realize autonomous route adjustment of the unmanned aerial vehicle; an end cloud collaborative sound scene self-learning module, which is used for realizing continuous iteration through end side recognition and cloud aggregation optimization; and an ecological monitoring result output module, which is used for generating a structured report and pushing the report to a user. The application solves the problems of distorted monitoring data, low efficiency and poor applicability caused by noise interference, low separation precision, rigid navigation mechanism and lack of self-adaption of the model.

The application provides a kind of urban space dynamic sound scene map construction method, system and medium, belong to the field of dynamic prediction, data integration, space mapping and visual display of urban sound scene, the method comprises: first, by fusing subjective perception score of residents and acoustic, ecological and visual objective environmental data, construct comprehensive sound scene perception index;Further, combined with acoustic simulation and measured correction technology, low-cost generation covers the high-density sound scene training sample set of global;Subsequently, the complex relationship between static space features and dynamic environmental features and sound scene perception index is learned using a machine learning model to establish a dynamic prediction model;Finally, the sound scene perception index prediction value output by the model is rendered through a GIS platform to generate a dynamic sound scene map that reflects the rhythm of urban operation. The present application overcomes the defects of existing sound scene technology such as static, single-dimensional and low resolution, and realizes dynamic, fine and interpretable quantification and visualization of human sound scene experience.

An object of a system according to an embodiment is to provide a personalized soundscape for healing sadness due to the unhappiness of relatives.SOLUTION: A system according to an embodiment includes a reminiscence information collection unit, a soundscape generation unit, and a soundscape provision unit. The reminiscence information collection unit collects reminiscence information of a user. The soundscape generation unit generates a soundscape based on the reminiscence information collected by the reminiscence information collection unit. The soundscape provider provides the user with the soundscape generated by the soundscape generator.SELECTED DRAWING: Figure 1

This invention belongs to the field of underwater acoustic signal processing technology, and relates to a method and system for evaluating the effectiveness of oyster reef restoration based on the fractal characteristics of acoustic scenes. This invention collects and analyzes the original acoustic signals of the oyster reef restoration area, utilizes fractal dimensions to quantify the complexity of acoustic fluctuations, effectively removes background noise, and extracts biological activity characteristics. By constructing an acoustic similarity network, it quantifies the synchronicity of regional ecological spatial activities, and combines real-time environmental parameters and restoration engineering parameters to generate a baseline of expected healthy network structure matching the current environment. By comparing the actual and expected networks, it calculates the network health deviation index and the system instability early warning index, and uses two-factor cross-validation to generate restoration effectiveness evaluation results, achieving high-precision, long-term evaluation and ecological instability early warning. This improves the ability to distinguish weak biological acoustic features in complex underwater environments, provides scientific decision support for oyster reef restoration projects, and ensures marine ecological health and sustainable development.

This invention discloses a spatial soundscape adaptive control method with head tracking, relating to the fields of spatial audio processing and human-computer interaction. The method includes: acquiring head posture data and performing time alignment and filtering to obtain a head state sequence; based on the head state sequence, performing multi-scale decomposition within a preset time window to obtain a multi-scale behavioral feature set; constructing a perceptual factor vector representing the head motion state based on the multi-scale behavioral feature set; constructing a spatial perceptual stable potential field based on the perceptual factor vector and the current head posture; and constraining the sound source parameters in the spatial soundscape within the sound image change tolerance range defined by the spatial perceptual stable potential field to generate a target soundscape parameter set. By distinguishing between conscious rotation and unconscious jitter, dynamic adaptive control is achieved, balancing sound image stability and response sensitivity, enhancing the immersive experience, and is computationally efficient.