58 results about "Soundscape" patented technology

Some examples are directed to systems and methods for presenting spatial audio at a plurality of locations based upon movement of a user viewpoint. Some examples are directed to systems and methods for presenting spatial audio with a level of detail based upon a distance between a location corresponding to spatial audio and a user viewpoint. Some examples are directed to systems and methods for changing a level of audio of an audio component associated with a virtual environment in response to a request to change a level of immersion of the virtual environment.

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.

The invention relates to a method for outputting an adaptive soundscape (3) in a vehicle interior depending on the driving situation, wherein an in-vehicle processing unit imparts a driving-dependent effect to the sound tracks (4) of a song (5) broken down into sound tracks (4) and controls a sound system of the vehicle to output the correspondingly manipulated sound tracks (4) via in-vehicle loudspeakers. The inventive method is characterized in that - the computing unit extracts a sound track characteristic sound track section from each sound track (4), wherein the computing unit generates a base sound track section (7.1) with a first sampling rate and a first time duration and at least one layer sound track section (7.2) with a second sampling rate and a second time duration using granular synthesis, wherein the first sampling rate is smaller than the second sampling rate and the first time duration is larger than the second time duration; and - the computing unit causes the output of the basic sound track section (7-1) when the vehicle is started and, depending on the driving situation, causes the output of a layered sound track section (7.2) for each driving event (1) when driving events (1) occur.

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.

A system and method for enhancing an in-vehicle acoustic experience is provided, including obtaining and transmitting sensor data by a sensor module, a sound scene generation module receiving the sensor data and referring to the sensor data to generate a sound scene audio signal. Then, a mixed audio signal formed by mixing the generated sound scene audio signal and an audio source signal provided by a vehicle-mounted entertainment module is played in the space in the vehicle through at least one loudspeaker, so that the acoustic experience in the vehicle can be enhanced under the condition that the driving of the vehicle is not influenced, a driver and passengers are helped to relax, the concentration degree is improved, and the safety of the vehicle is improved. And the immersive acoustic experience is enjoyed while the noise is further masked.

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 invention belongs to the technical field of smart cities and environment regulation, solves the problem of how to enable sound and light to be associated and to be more fused with the surrounding environment, and relates to an urban public space sound scene and illumination intelligent collaboration device, which comprises a collection device configured to collect environmental parameters; the database is used for storing a natural sound source for sound masking; a speaker configured to play a natural sound; the lighting equipment is used for lighting; and the controller is configured to select a natural sound source from the database according to the environmental parameters, generate playing parameters, perform fast Fourier transform on the natural sound source, convert a time domain signal into a frequency domain signal, extract energy intensity of each frequency band and generate control parameters of the lighting equipment in combination with the environmental parameters. The invention also provides an urban public space sound scene and illumination intelligent cooperation method.

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.

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 invention relates to the technical field of man-machine interaction, and discloses an audio-visual linkage system based on AI sound scene regulation and control, and the system comprises a composite sensing assembly which collects environmental acoustics and audience biological characteristics; the emotional state evaluation engine is used for updating the emotional belief state of the audience based on the collected features, and actively calibrating the state by releasing an emotional probe and monitoring biological feature changes when the belief state is high in uncertainty; the hierarchical strategy engine is used for generating a director intention and a collaborative rendering action according to the belief state; and an audiovisual rendering component for executing a rendering action to regulate and control the audiovisual scene in a linkage manner. The method comprises the steps of collecting multi-modal data, evaluating and updating an emotional belief state, judging uncertainty and executing active calibration, performing hierarchical decision to generate a rendering instruction, and finally executing the instruction to realize audio-visual linkage and form closed-loop control. According to the invention, deep, real-time and adaptive coupling of the audio-visual content and the inherent emotion of the audience can be realized.

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.

The invention discloses an implementation method of a vehicle cabin sleep-aiding sound scene, an implementation device of the vehicle cabin sleep-aiding sound scene, an electronic device, a vehicle, a computer readable storage medium and a computer program product. The method comprises the step of controlling a vehicle simulation sleep-aiding sound scene according to set playing parameters of the sleep-aiding sound scene under the condition that a vehicle sleep-aiding mode is started. Therefore, the user can set the playing parameters of the sleep-aiding sound scene in a self-defined manner according to own preferences, so that exclusive sleep-aiding experience is created, and individual requirements of different users are met. Moreover, by simulating the sound of a real scene, an immersive and immersive sleep-aiding sound scene is created, the anxiety and nervous emotion of the passenger are effectively relieved, the passenger is helped to enter a sleep state, the sleep quality is improved, and thus the user experience is enhanced.

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 present application relates to a method and system for intelligent soundscape mixing of a sound-intelligent membrane, and relates to the field of electronic technology; the application also involves developing an ecological scene editing and management engine, which enables operators to easily create and adjust a "full scene mode". Through a graphical interface, the actions of equipment such as audio and lighting are arranged into a timeline or logical link, supporting the automatic execution of complex linkages. An AI adaptive control algorithm is introduced to dynamically adjust device parameters based on sensor and environmental data to achieve intelligent optimization of scene effects. Artificial intelligence is supported to learn common scene modes based on historical data, and to optimize switching strategies to improve user experience.

The invention discloses a panoramic camera and panoramic sound audio and video integrated sound scene acquisition wearable device, and relates to the technical field of sound scene acquisition. Comprising a wearable device, visual collection devices are arranged on the front face, the two sides, the back face and the top of the wearable device, external images are collected through the visual collection devices, and a 360-degree panoramic video stream and a depth point cloud are output. According to the invention, the problems that panoramic video acquisition and binaural recording cannot be simplified and integrated, synchronous panoramic recording of audios and videos cannot be ensured and immersive auditory experience is difficult to form in a sound scene acquisition wearable device in the prior art are solved, and a more efficient and scientific acquisition mode is provided for the technical field of sound scene acquisition; the method has important application value in multidisciplinary research of anthropology, acoustics, ecology and the like.

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 discloses a bird voiceprint collection system and device based on AI voiceprint recognition, and relates to the technical field of bird voiceprint collection, and the system comprises an acoustics and environment data collection unit which is used for obtaining an original acoustics signal and synchronously collecting environment physical parameters; the environment state quantification unit is used for quantizing and generating an environment stress factor; the sound source signal decoupling unit is configured to apply a correctable sound scene channel operator to generate a decoupling reliability factor; the voiceprint recognition unit is used for analyzing the pure sound source signal and outputting a species recognition confidence coefficient; and the self-adaptive correction unit is used for determining a correction learning rate, calculating the loss of a channel model and performing closed-loop correction on a sound scene channel operator so as to adapt to the interference of environment change on the acoustic signal. According to the method, high-robustness bird voiceprint collection is achieved, the method can adapt to environment changes, the performance is rapidly recovered through hierarchical correction and a historical database, and the recognition reliability is improved by combining multi-factor calculation loss.