9 results about "Human auditory system" patented technology

The invention relates to the technical field of audio signal processing, and discloses an audio processing method and system based on auditory model optimization. The method comprises the following steps: performing multi-scale frequency band decomposition processing on an input audio signal to generate a sub-band signal set covering different frequency ranges; the sub-band signal set is input into an auditory masking effect calculation model, and the model calculates masking threshold distribution of each sub-band signal according to frequency sensitivity characteristics of a human auditory system. And performing dynamic gain adjustment processing on the sub-band signal set based on the calculated masking threshold distribution to generate a gain-optimized sub-band signal set. And performing nonlinear distortion suppression processing on the sub-band signal set after gain optimization to generate a sub-band signal set after distortion suppression. And inputting the sub-band signal set after distortion suppression into a frequency band synthesis model to reconstruct a complete time domain audio signal. According to the invention, audio optimization processing conforming to human ear perception characteristics is realized.

An assembly 100 to provide thermal therapy to a human auditory system includes a thermal transducer 125, a stimulus transducer 120, 135, a receiver 130, and a processing device 145. Some or all of the individual components may be carried in headwear. The thermal transducer 125 applies hypothermic temperature conditions to an area of the head near an ear. The stimulus transducer 120, 135 applies a stimulus signal, and the receiver 130 detects otoacoustic emission (OAE) responsive to the stimulus signal. The processor 145 compares the received OAE signal to a reference. Discrepancy between the OAE and reference is used in a feedback loop to control operation of the system 100.

The invention relates to the technical field of wireless audio, and provides a multi-device wireless audio synchronization and sound field expansion method and system. Ultrahigh synchronization precision: through hierarchical clock synchronization and audio feedback calibration, the audio synchronization precision among multiple devices is improved to be within 500 microseconds from 10-50 milliseconds of a traditional scheme, and is far beyond a perception threshold of a human auditory system for synchronization differences; self-adaptive sound field expansion: through a virtual positioning technology, a user can intuitively configure a multi-device space layout, and a system automatically calculates sound channel allocation, delay compensation and frequency equalization parameters to realize immersive sound field experience; a double-link redundancy transmission and dynamic path switching strategy is adopted, and stable connection and synchronization quality are kept in a complex wireless environment.

This invention relates to the fields of audio signal processing and machine learning, and particularly to an audio anomaly detection method based on physical perception iterative coding. The method includes a feature extraction and fusion module, a physical perception iterative decoupling network module, and an anomaly scoring module. Based on a physical perception iterative coding mechanism, this invention simulates the human auditory system's perception of sound, decoupling audio features into physical components such as timbre and energy. Through multiple iterations, feature representations are progressively refined, thereby achieving more accurate detection of audio anomalies, especially maintaining stable detection performance in domain-transfer scenarios. Furthermore, this method does not rely on anomalous samples; training can be completed using only normal samples, making it more suitable for practical industrial applications.

The invention discloses an intelligent analgesia method and system based on environmental sound detection, and the method comprises the following steps: starting an intelligent analgesia instrument body for initialization, and generating a system initialization state data set; a user selects audio data through the terminal and generates an audio selection instruction set; the terminal sends a composite data request and carries out encryption fragmentation processing on the audio data to generate encrypted audio data fragments and verification information; if not, the controller reads the audio data in the local memory; performing continuous sampling, filtering and form conversion on external environment sound to generate an environment sound decibel measured value; adaptive decibel adjustment, frequency band optimization and dynamic range adjustment are carried out based on the environment sound decibel measured value, and a target audio data set is generated; and performing streaming transmission, playing control and visual display on the target audio data set, and receiving audio by a human auditory system to act on a cortical thalamus loop to realize analgesia. The analgesia audio playing can be dynamically adjusted according to the environment sound change.

This invention discloses a method and apparatus for classifying and determining the target of intake order noise based on a harmonic signal generator. The method includes dividing in-vehicle noise into in-vehicle intake order noise and in-vehicle background noise caused by other factors, and acquiring the in-vehicle background noise; calculating the characteristic loudness of the corresponding in-vehicle background noise under various driving conditions, and classifying the target of intake order noise based on the characteristic loudness of the in-vehicle background noise; simulating intake order noise at the intake through a harmonic signal generator so that the frequency and amplitude of the intake order noise transmitted into the vehicle are the same as the frequency and amplitude of the corresponding target intake order noise at each level; acquiring the simulated intake order noise, and classifying the target of intake order noise based on the simulated intake order noise. This invention achieves the separation of in-vehicle intake order noise from other background noise, the setting of target of in-vehicle intake order noise based on human auditory system perception, and the decomposition of in-vehicle intake order noise into intake order noise based on quantitative active sound generation.

This invention discloses a multi-resolution audio transformation processing method, comprising the following steps: preprocessing and framing the obtained discrete time-series audio signal sequentially to obtain a framed audio signal; the preprocessing is used for filtering the audio signal; determining whether each audio frame in the framed audio signal belongs to a transient frame or a steady-state frame; performing wavelet packet decomposition on the audio frames belonging to transient frames to obtain a first type of audio frame; performing an improved discrete cosine transform on the audio frames belonging to steady-state frames to obtain a second type of audio frame; fusing the first type of audio frame and the second type of audio frame to obtain a fused audio signal; and non-uniformly dividing the time-frequency coefficients of the fused audio signal according to the Bark critical frequency band scale to obtain a divided audio signal. This invention can obtain an audio signal with good multi-scale time-frequency domain representation, which can obtain an audio signal that matches the frequency selectivity characteristics of the human auditory system.

This invention provides a bone conduction-based sound-generating lollipop, a processing method, and a system. The bone conduction-based sound-generating lollipop includes a shell, a trigger, a controller, and a sound-generating component. The sound-generating component, controller, and trigger are integrated into an encapsulated cavity formed by the shell, eliminating the need for separate encapsulation of the sound-generating component. When the support portion of the shell enters the human mouth, the trigger sends an activation command to the controller, which drives the sound-generating component to vibrate. The vibration signal is transmitted to the human auditory system via bone conduction through the support portion of the shell and the edible material attached to the support portion, through the oral tissue or teeth. Compared to existing bone conduction-based sound-generating lollipops, the elimination or reduction of the encapsulated shell of the traditional sound-generating structure simplifies the structure of the bone conduction sound-generating component, increases its integration, achieves miniaturization of the bone conduction-based sound-generating lollipop, and reduces sound quality loss, thereby improving sound quality.

The invention discloses an in-vehicle rough sound evaluation method and device, electronic equipment and a storage medium, and relates to the technical field of noise evaluation.The method comprises the steps that in-vehicle noise signals of a vehicle are collected, filtering processing is conducted on the in-vehicle noise signals, and noise sub-signals corresponding to a plurality of continuous critical frequency bands are obtained; performing signal processing on the noise sub-signals based on a preset masking effect model to obtain a roughness contribution value of each critical frequency band; and determining an in-vehicle coarse noise evaluation result according to the roughness contribution value of each critical frequency band. Therefore, according to the method, the masking effect model in psychoacoustics is introduced, so that the actual working principle of a human auditory system during complex sound processing is simulated, roughness analysis is carried out on the collected in-vehicle noise signals, the accuracy and credibility of an in-vehicle noise evaluation result are improved, meanwhile, a large amount of time and labor cost are saved, and the accuracy and reliability of in-vehicle noise evaluation are improved. And the test efficiency is improved.