14 results about "Infrasound" patented technology

The application discloses a kind of key parameters of laser piston sound generator sound pressure calculation model determination method, belong to laser piston sound generator technical field, it is by the same one to be measured infrasound sensor and the acoustic coupling of three different lengths of piston cavity of piston sound generator, the response voltage of infrasound sensor is successively collected when different piston cavity length, the ratio of the response voltage of infrasound sensor when different piston cavity length is calculated, and the experimental data of the sound pressure ratio of piston sound generator when different piston cavity length is obtained;According to experimental data, the parameters to be determined in the sound pressure calculation model of piston sound generator are fitted using genetic algorithm, and the key parameters to be determined in the sound pressure calculation model of piston sound generator are obtained.The method can solve the problem of accurate determination of the change of piston cavity volume and additional acoustic impedance introduced by the acoustic coupling of infrasound sensor and piston sound generator, and improve the calculation accuracy of the sound pressure calculation model of laser piston sound generator.

It is disclosed a method for operating a Text-to-Speech (TTS) framework (1) with an integrated Intonation-Aware Subsonic Harmonics (ISH) unit (2, 2.1, 2.2, 2.3, 2.4). Said method including a sequence of steps to generate and integrate inaudible subsonic frequencies (f.) with a synthesized speech waveform (g.), and to dynamically adjust them based on modulation parameters (e.) and contextual feedback (c.) derivable from the text inputted to the TTS system (1). This procedure influences prosodic features results in more natural-sounding, fluid, and expressive synthetic speech signal (h.).

A system and method for cardiovascular monitoring and reporting are disclosed. The system (CV monitoring system) includes a data analysis system and an in-ear biosensor system that preferably includes left and right earbuds. The earbuds include infrasound / vibration sensors that detect biosignals from the individual including signals associated with cardiovascular activity (CV signals). The analysis system calculates cardiovascular function measurements (CV function measurements) based upon the CV signals. The CV monitoring system uses machine learning to predict blood pressure (BP) measurements of the individual based upon the CV signals and the calculated CV function measurements. In an embodiment, the CV monitoring system includes an EKG detection system that detects EKG signals associated with heart function. The analysis system can calculate additional CV function measurements from the EKG signals to augment the CV function measurements calculated from the CV signals, and predict BP measurements using the full complement of CV function measurements.

An audio infusion system and method are disclosed. A source audio track is separated into a plurality of audio tracks (e.g., instrumental, vocal, or mixes thereof) and the audio tracks are individually processed to generate a plurality of binaural beat tracks. At least one spatialized track is also generated by filtering the source audio track to provide a filtered track, generating one or more spatialization trajectories based on certain audio feature(s) of the source audio track (e.g., tempo) and a target end-state effect, and spatializing the filtered track using the spatialization trajectories. Other tracks may also be generated, such as one or more infrasonic tracks, ultrasonic tracks, enhanced bass tracks, and / or subharmonic tracks. The tracks may be played simultaneously or mixed for delivery to an end user device.

The application provides a subsonic array-based subgrade slope slip surface positioning and early warning method, belonging to the technical field of subgrade engineering and geological disasters. The method comprises: main frequency identification and resonance frequency modulation: based on time-frequency analysis of the received array signal, the real-time main frequency of the slip subsonic wave is identified, and the optimal frequency is obtained according to the real-time main frequency; double signal source separation and collection: the enhanced passive subsonic signal is extracted and the arrival time difference is calculated; the propagation time and amplitude of the active reflected wave corresponding to each emitter are separated and extracted at the same time; double-source cooperative positioning: the first spatial region is determined based on the arrival time difference; the second spatial region is circled by the preset double-threshold criterion; the spatial intersection of the two regions is calculated as the landslide risk region; multi-parameter fusion early warning is carried out according to the landslide risk region. The method can track the dynamic main frequency of the landslide slip subsonic wave in real time, solve the problem of weak signal extraction, and improve the positioning accuracy of the landslide.

The invention relates to the technical field of communication, and further relates to an encrypted communication method and device and an interphone. The method comprises the following steps: receiving an audio signal input by a user; processing the audio signal into a corresponding infrasound signal or an ultrasonic signal according to the frequency of the audio signal; and sending the infrasound signal or the ultrasonic signal to a second terminal, so that the second terminal restores the infrasound signal or the ultrasonic signal into the audio signal and plays the audio signal. According to the method, an audio signal is converted into an electronic signal, frequency increasing or frequency reducing processing is carried out, ultrasonic or infrasound signals are generated, and the signals exceed the normal hearing range of human beings and are safely transmitted through radio waves. After receiving the signals, the second terminal checks the frequency of the signals and confirms whether the signals are effective encrypted signals, and if yes, the signals are restored to original audio signals to be played. And the privacy and security of communication are enhanced.

The invention relates to the technical field of infrasound signal classification, in particular to a small-sample unequal-length infrasound event classification method, which comprises the following steps of: 1, acquiring infrasound signals; step 2, twin network input; step 3, carrying out data downsampling; 4, capturing a dependency relationship; step 5, attention weight calculation; according to the method, the infrasound data collected by the real station are classified based on the method of combining the dynamic mask and the twin network, and the proposed method can focus the real part of the infrasound signal, eliminate the adverse effect caused by filling and truncation, improve the classification accuracy of the unequal-length infrasound events, improve the classification accuracy of the unequal-length infrasound events, and improve the classification accuracy of the unequal-length infrasound events. According to the method, convergence can be faster while high accuracy is kept, the training time is shortened, a fixed-dimension embedded vector is generated only based on the real part of the signal and is combined with a twin network based on metric learning, classification of small-sample unequal-length infrasound events can be rapidly achieved, and noise and information loss caused by filling and truncation are avoided.

The invention discloses an active coherent plane wave silencing device and a sound source identification method. The device comprises a sound wave guide tube designed according to the highest frequency of a target sound wave, a main sound source sound pressure signal acquisition module, a signal analysis processing control unit, an adjustable power amplifier and a secondary sound source. The sound wave guide tube converts spherical waves or cylindrical waves into plane waves through a cut-off section or an adjustable section structure; the signal analysis processing control unit identifies the characteristic parameters of the main sound source through time-frequency transformation and phase inversion calculation and generates a control signal; the secondary sound source generates interference sound waves with the same frequency and opposite phases as the main sound source, and the two form surface contact interference in the conduit to counteract target sound energy. Plane wave interference is achieved through the sound wave guide pipe, real-time sound pressure monitoring and a self-adaptive algorithm are combined, sound wave parameters are dynamically adjusted, wide-band and multi-sound-source type self-adaptive noise elimination can be achieved, and sound energy counteracting efficiency and system stability are remarkably improved.

The invention relates to an infrasound audio vibration composite detection system and a detection method. An acquisition module '1', an infrasound sensor '5', six microphones' 6 'and a vibration sensor' 7 'form the composite detection system. The acquisition module (1) transmits data acquired by the composite detection system to the controller (3), and the controller (3) stores the data in the storage module (11) and transmits the data to the calculation module (2). The calculation module (2) can also return a calculation result to the controller (3), and the calculation result is transmitted between the detection systems through the LR-WIFI module (8) and the 4G module (9), and is further transmitted to an upper-level server through the 4G module (9). According to the invention, long-distance signal detection and positioning can be carried out on an air sound source through three sensors, meanwhile, underground vibration signals can be recorded, and the target identification capability in a complex environment is improved.

This invention, titled "Automated Traditional Chinese Medicine (TCM) Auscultation and Diagnosis System Supported by Intelligent Voice Technology," comprises: a voice signal input terminal, a voice recognition (VAD) module, a voice feature factor generation and analysis module, an auxiliary information support module, and a TCM comprehensive identification module. Based on the physical resonance effect of the human body and extending the speech frequency domain to the infrasound frequency range, the device constructs an innovative voice analysis model to comprehensively acquire multiple feature indicators from human voice samples. Based on these indicators and their TCM interpretation schemes, the system integrates multiple TCM theories using a distributed structure, embedding the Eight Principles, the Three Jiaos, Qi, Blood, Body Fluids, and Zang-Fu differentiation methods to achieve voice-based expression of syndrome characteristics. The device achieves data fusion through internal competition and external signal integration, and outputs the final syndrome conclusion.

A system and method for noninvasive sleep monitoring are disclosed. The system includes an in-ear biosensor system (“biosensor system”) and a data analysis system. The biosensor system includes at least one earbud placed at or within an ear canal of an individual. The earbud includes an acoustic sensor that detects biosignals including infrasonic and audible signals from the individual in the ear canal. A controller board of the biosensor system collects and forwards the biosignals to the data analysis system. The data analysis system analyzes the biosignals to identify and monitor physiological information of the individual during sleep. The physiological information includes sleep stages, sleeping position information, sleep events including snore, breathing cessation and bruxism events, and sleep disorders, in examples. The system can also induce changes to the physiological information during sleep using external stimuli to improve a quality of sleep.

Implementations disclosed herein include near-infra audio systems and methods involving enhanced immersive infrasonic / sound experience(s). According to one embodiment, an exemplary embodiment herein may comprise a signal generation module configured to produce near-infra or sub-audio frequency waveforms, a mixing unit configured to combine said waveforms with conventional audio signals to form a composite output, and a directional transmission element arranged to project the composite output toward a defined coverage area. In some aspects, the signal generation module may be adapted to operate within a predetermined frequency spectrum. Further, according to other aspects, a directional transmission element may be structured to confine projection to a targeted region so that the composite output is delivered primarily to intended listeners, and / or such that the configuration minimizes dispersion of the audio signal beyond the targeted region.

It is disclosed a method for generating an enhanced natural-sounding speech in a Text- to-Speech (TTS) system (1). Said method including a sequence of steps to be executed by an Intonation-Aware Subsonic Harmonics (ISH) unit (2, 2.1, 2.2, 2.3, 2.4), which is integrated with the TTS system (1), in order to generate and integrate inaudible subsonic frequencies (f.) with a synthesized speech waveform (g.), and to dynamically adjust them based on modulation parameters (e.) and contextual feedback (c.) derivable from the text inputted to the TTS system (1). This procedure influences prosodic features results in more natural-sounding, fluid, and expressive synthetic speech signal (h.).

It is disclosed an Intonation-Aware Subsonic Harmonics (ISH) unit (2), adapted to be integrated into a Text-to-Speech (TTS) system (1). Said unit being comprised by an Intonation Learning Module (2.2), a Subsonic Harmonics Module (2.3), and a Contextual Feedback Module (2.3). More precisely, the Intonation Learning Module is able to learn the relationship between subsonic harmonic profiles and intonation patterns across various emotional and contextual scenarios. The Subsonic Harmonics Module generates and integrates inaudible subsonic frequencies with a synthesized speech waveform (g.), dynamically adjusting them based on the Intonation Learning Module's output and contextual feedback (c.) on contextual information derivable from the text inputted to the TTS system, given by the Contextual Feedback Module. This procedure influences prosodic features results in more natural-sounding, fluid, and expressive synthetic speech signal (h.).