13437results about "Sound producing devices" patented technology

An incubator can include a body, a bed supported by the body, and a canopy defining an interior chamber that includes the bed. The incubator can include any combination of various features configured to reduce sound energy inside the incubator. The incubator can include a passive radiator, a Helmholtz resonator, a meta material absorber, an active noise cancelation system, a vented door latch assembly, an acoustically permeable seal, a pressure relief valve, a lift mechanism that uses a belt drive, double paned canopy walls, a bin with insulating compliant elements, a manual pressure release valve, a pressure differential notification system, non-parallel or curved canopy walls, a mattress with reticulated foam, and / or an acoustic filter.

A demodulation signal generator, coupled to an air-pulse generator comprising a flap pair, includes a resonance circuit. The resonance circuit produces a first demodulation signal and a second demodulation signal. The resonance circuit and the flap pair co-perform a resonance operation, such that the first demodulation signal and the second demodulation signal are generated via the co-performed resonance operation and have opposite polarity. The flap pair performs a differential movement to form an opening to perform a demodulation operation on a modulated air pressure variation.

An apparatus that includes a catheter and multiple shock wave discharge points positioned within a balloon along the catheter between proximal and distal ends of the catheter, wherein the distal end extends distally beyond the balloon. An electronic controller includes software and is operably coupled to control firing and production of shock waves at each shock wave discharge point of the multiple shock wave discharge points.

The invention discloses an electromechanical equipment noise reduction method based on machine learning, and relates to the field of electromechanical equipment noise reduction, and the method comprises the steps: collecting sound pressure and vibration signals during the operation of electromechanical equipment, and collecting the operation state data of the electromechanical equipment; sparse reconstruction is carried out on the noise features; carrying out sound source localization on the reconstructed noise features by using a beam forming algorithm to obtain a noise distribution diagram; constructing a noise reduction model based on deep learning to obtain noise signals after noise reduction; extracting the frequency of the noise signal in a preset frequency range through a peak search algorithm; analyzing the acquired running state data by using a time-varying linear predictive coding algorithm TVLPC to obtain a noise frequency offset caused by the abnormal running state of the electromechanical equipment; generating an optimal solution by using a particle swarm algorithm; and according to the optimal solution of noise control, noise dominant frequency components are extracted for separation, and a plurality of phase-reversal noise reduction control signals are obtained. Aiming at low noise reduction precision of electromechanical equipment in the prior art, the noise reduction control precision is improved.

The invention relates to the technical field of audio noise reduction, and discloses a Bluetooth headset environment noise adaptive adjustment method and system, and the method comprises the steps: collecting multi-band sound data of headset environment noise through a preset acoustic sensor array, generating a noise spectrogram, extracting a noise masking threshold through time-frequency joint analysis, and collecting a headset audio signal; next, noise suppression is carried out on the audio signal by using a multi-order digital filter bank to obtain a primary noise reduction signal, the primary noise reduction signal is optimized into an optimized noise reduction signal based on a signal-to-noise ratio, and the frequency response matching degree of the optimized noise reduction signal and the original audio signal is calculated; then, performing phase correction and amplitude-frequency equalization processing according to the frequency response matching degree to obtain an audio equalization parameter; and finally, monitoring residual noise energy based on the parameter, generating a noise regulation and control instruction, driving adaptive sampling, and generating an adaptive noise reduction scheme. According to the invention, the audio noise reduction effect of the Bluetooth earphone can be improved.

The present disclosure provides an earphone comprising a housing assembly, a speaker, and an ear hook assembly. The housing assembly includes a first accommodating cavity and a connecting portion that is provided with a socket extending along a first direction. The first accommodating cavity and a first channel and a second channel included in the socket are sequentially connected. A first abutment surface is disposed at transition between the first and second channels. The first abutment surface is inclined to the first direction. The ear hook assembly includes a first connecting end that includes a plug portion. The plug portion is inserted into the socket and includes a second abutment surface and an annular surface. The second abutment surface is inclined to the first direction and faces the first abutment surface. The annular surface extends from an inner edge of the second abutment surface toward the first abutment surface.

A target location of a blood vessel is treated by providing an apparatus that includes a catheter and multiple shock wave discharge points positioned within a balloon along the catheter between proximal and distal ends of the catheter, wherein the distal end extends distally beyond the balloon and the proximal end extends proximally beyond the balloon. Shock waves are created by activating an electronic controller connected to an electrode at each shock wave discharge point. The shock waves are applied through the balloon to treat the target location with the shock waves.

A catheter system fits within a blood vessel wall includes a shock wave generator aligned along a length of a catheter within a balloon proximal to the tip end of the catheter to produce shock waves that propagate outward through the balloon toward the blood vessel wall for treatment.

An acoustic output device is provided. The acoustic output device includes a housing; a bone conduction vibrator configured to generate bone conduction sound waves and transmit the bone conduction sound waves to a cochlea through the housing to produce sound; an air conduction vibrator configured to generate air conduction sound waves, the air conduction sound waves being transmitted to an ear through sound guiding holes in the housing; and a processing module configured to provide the bone conduction vibrator and the air conduction vibrator with a first audio signal and a second audio signal, respectively, the first audio signal and the second audio signal having a frequency division point, the first audio signal and the second audio signal including components with frequencies above and below the frequency division point, respectively. The frequency division point is not less than 600 Hz.

An air-pulse generating device includes first and second cells. The first cell includes first flap and second flaps configured to perform a first differential movement to form a first opening. The second cell includes third and fourth flaps configured to perform a second differential movement to form a second opening. The first flap and the second flap are opposite to each other and actuated to move toward opposite directions to perform the first differential movement. The third flap and the fourth flap are opposite to each other and actuated to move toward opposite directions to perform the second differential movement. The second flap of the first cell and the third flap of the second cell are actuated to move toward opposite directions and disposed adjacent to each other.

An air-pulse generating device, a wearable sound device, bladeless fan, and an airflow producing method are disclosed. The air-pulse generating device includes a film structure, configured to be actuated to generate a plurality of air pulses at an ultrasonic pulse rate. The plurality of air pulses produces a net airflow toward one single direction.

The invention relates to the related technical field of vibration noise control, in particular to an intelligent vibration noise control method and system using frequency spectrum characteristics, and the method comprises the steps: collecting rail transit vibration noise signals, extracting time-frequency domain mixed characteristics, carrying out multi-source separation, generating a noise source contribution degree matrix, configuring a strategy set, and monitoring changes to generate feedback. And the active damper is adjusted in real time for noise reduction. The technical problems that the noise suppression effect is limited and the noise reduction requirement of a complex time-varying scene cannot be accurately matched due to the fact that vibration noise control is difficult to adapt to a dynamically changing vibration noise environment are solved, time-frequency domain mixed features are extracted, overlapped noise sources are identified and separated more accurately, complex characteristics of vibration and noise are comprehensively considered, and the noise reduction effect is improved. And the active damper is dynamically adjusted so as to adapt to changes of vibration and noise, and the accuracy and effectiveness of dynamic adjustment are improved.

An air-pulse generating device includes a film structure including a first flap and a second flap opposite to each other. The film structure is actuated to operate at an ultrasonic frequency, and the air-pulse generating device produces a plurality of air pulses at an ultrasonic pulse rate. The first flap and the second flap are actuated to perform a differential movement to form an opening or a virtual valve. A slit is formed between the first flap and the second flap, and the opening or the virtual valve is formed because of the slit. The slit is formed as a zigzagging pattern on the film structure.

Various implementations include a method of training a road noise cancelation (RNC) system for a vehicle, including: providing inputs to RNC system, the inputs obtained from: a set of ear-mounted microphones on a user, at least one transducer, an accelerometer, a set of cabin microphones in the vehicle, and a controller area network (CAN) bus, the inputs from the set of ear-mounted microphones on the user approximating a signal detected by the ears of the user; adapting a set of parameters in the RNC system defining an estimated signal detected at respective ears of the user based on the inputs; and generating at least one of the following for input during an operating mode of the RNC system: estimated ear microphone signals based on the adapted set of parameters, or a set of projection filters for use in determining an estimated ear signal at the respective ears of the user.

A controller configured to control a sound producing module includes a volume controlling unit configured to determine a demodulation amplitude and a modulation amplitude corresponding to a target volume. The sound producing module comprises a driving circuit and an air-pulse generating device. The driving circuit generates a demodulation driving signal according to the demodulation amplitude and generates a modulation driving signal according to the modulation amplitude, so as to drive the air-pulse generating device. The air-pulse generating device produces sound via generating a plurality of air pulses at an ultrasonic pulse rate.

Automated attention handling techniques are described herein for use with wearable audio components with active noise control (ANC) to suppress ambient sound. A name embedding model is trained automatically to convert name audio samples into acoustic segments based on a knowledge distillation model. The name embedding model is used to generate reference embeddings for each of a user-enrolled set of names, and a relation network and a false rejection network are also trained. In real-time operation, the name embedding model converts real-time audio samples to real-time embeddings, the relation network compared the real-time embeddings to the reference embeddings to look for candidate matches, and the false rejection network validates the candidate matches to detect when one of the user-enrolled names has been invoked. Detecting such an invocation automatically triggers the ANC to switch to a conversation mode.

An air-pulse generating device includes a film structure including a first flap and a second flap opposite to each other. The film structure is actuated to operate at an ultrasonic frequency, and the air-pulse generating device produces a plurality of air pulses at an ultrasonic pulse rate. The first flap and the second flap are actuated to perform a differential movement to form an opening or a virtual valve. A slit is formed between the first flap and the second flap, and the opening or the virtual valve is formed because of the slit. The slit is formed as a zigzagging pattern on the film structure.

Automated attention handling techniques are described herein for use with wearable audio components with active noise control (ANC) to suppress ambient sound. A name embedding model is trained automatically to convert name audio samples into linguistically distinct name classifications and / or unified audio samples. The name embedding model is used to generate reference embeddings for each of a user-enrolled set of names, and a relation network and a false rejection network are also trained. In real-time operation, the name embedding model converts real-time audio samples to real-time embeddings, the relation network compared the real-time embeddings to the reference embeddings to look for candidate matches, and the false rejection network validates the candidate matches to detect when one of the user-enrolled names has been invoked. Detecting such an invocation automatically triggers the ANC to switch to a conversation mode.

The invention provides a multi-data fusion fire-fighting early warning method and platform, and relates to the technical field of fire fighting, and the method comprises the steps: collecting a multi-dimensional environment data set of a target region; performing noise filtering on the multi-dimensional environment data set to obtain a multi-dimensional environment de-noised data set; comprehensively analyzing the plurality of data sources based on the multi-dimensional environment de-noised data set to generate fire-fighting comprehensive data, and fusing the multi-dimensional environment de-noised data set to obtain a multi-dimensional environment fused data set; building a fire risk model according to the fire-fighting comprehensive data, synchronizing the multi-dimensional environment fusion data set to the fire risk model for evaluation according to a plurality of data sources, and obtaining a fire risk level of the target area; and generating a fire-fighting early warning instruction based on the fire risk level, and sending the instruction to the remote control terminal. According to the method, the technical problem that a traditional fire early warning method is single in monitoring means and is easily interfered by environmental factors to cause false alarm or missing alarm is solved, and the accuracy and response speed of fire early warning are remarkably improved.

The invention relates to the technical field of audio noise reduction, in particular to a multi-scene adaptive noise reduction method and system for audio terminal equipment. The method comprises the following steps: identifying a real-time environmental sound signal; environment noise source identification is carried out on the real-time environment sound signal, noise distribution perception modeling is carried out, and an environment noise distribution field is constructed; performing current scene noise change analysis on the environment noise distribution field, performing dynamic noise distribution rendering, and constructing a dynamic noise scene model; performing hedging suppression parameter calculation based on the dynamic noise scene model, performing adaptive noise suppression processing, and constructing an adaptive noise suppression strategy; acquiring an audio input signal of a user; and performing local audio gain processing on an audio input signal of a user, and performing multi-band decomposition to generate an audio frequency parameter of each band. The stability and the accuracy of the noise reduction effect are improved, so that the practicability and the adaptability of the audio terminal equipment are enhanced.

Automated attention handling techniques are described herein for use with wearable audio components with active noise control (ANC) to suppress ambient sound. A name embedding model is trained automatically to convert name audio samples into linguistically distinct name classifications and / or unified audio samples. The name embedding model is used to generate reference embeddings for each of a user-enrolled set of names, and a relation network and a false rejection network are also trained. In real-time operation, the name embedding model converts real-time audio samples to real-time embeddings, the relation network compared the real-time embeddings to the reference embeddings to look for candidate matches, and the false rejection network validates the candidate matches to detect when one of the user-enrolled names has been invoked. Detecting such an invocation automatically triggers the ANC to switch to a conversation mode.

Meta cells can show both passive material and meta properties (ie, hybrid properties) and multifunctional acoustic metamaterial panel comprising at least one hybrid meta cell in order to decrease the transmission of sound waves and / or attenuate sound waves in a desired narrow or wide frequency band.

Various embodiments of an ear-wearable electronic device are disclosed. The device includes a housing having a top shell and a bottom shell, a microphone disposed within the housing, and an acoustic path disposed at least partially within the housing and extending between an acoustic port disposed at an outer surface of the housing and an outlet disposed within the housing that acoustically couples the acoustic path to an inlet of the microphone. The device further includes an acoustic filter disposed at least partially within an inner surface of the top shell and includes a neck and a resonance cavity acoustically coupled to the neck. The acoustic filter is acoustically coupled to the acoustic path via the neck. Further, the acoustic filter is configured to reduce an intensity of acoustic waves sensed by the microphone in a first frequency range.

The invention provides a sound quality-based ventilated sound insulation metamaterial design method, which comprises the following steps of: acquiring target noise for spectral analysis, and determining a main sound insulation frequency band of a metamaterial; determining the annoyance degree of a sound sample of the target noise, and calculating psychoacoustic parameters of the sound sample; analyzing the annoyance degree and the psychoacoustic parameters to obtain an annoyance degree correlation model; modeling the acoustic metamaterial structure and calculating transmission loss, and adjusting the sound insulation frequency band of the metamaterial to a specified target frequency band by adjusting the parameters of the acoustic metamaterial structure; the transmission coefficient of the acoustic metamaterial structure is calculated, psychological acoustic parameters are obtained according to the transmission coefficient, an annoyance degree correlation model is established, and the noise annoyance degree is obtained; and adjusting parameters based on the noise annoyance degree under different acoustic metamaterial structures to obtain the acoustic metamaterial structure with the optimal sound quality. According to the invention, the sound quality annoyance degree is used as the basis of the metamaterial design effect, so that the sound quality annoyance degree is greatly reduced under the limited size.

The invention provides an active noise reduction method, system and device, a medium and a vehicle. The method comprises the steps that based on an original noise signal collected by a noise sensor in real time and an error signal collected by an error sensor in real time, through an improved FxLMS algorithm model, a reverse noise control signal is generated, and the reverse noise control signal is used for generating reverse noise superposed with the original noise to suppress the original noise; wherein the improved FxLMS algorithm model comprises a self-adaptive filter, and the self-adaptive filter is used for carrying out self-adaptive updating of a filter coefficient on the basis of environment parameters generated in real time. According to the method, the step length during adaptive updating of the filter coefficient is adjusted through environmental parameters, so that the iteration speed of an algorithm model is improved, the change of non-stationary original noise is quickly tracked, and effective noise control is realized.

Various illustrative systems, devices, and methods for face masks are provided. In general, a face mask is configured to provide cooling therapy to a user wearing the face mask. In an exemplary implementation, the face mask includes a thermoelectric cooling device, such as a Peltier device, a thermoelectric cooler (TEC), or other thermoelectric cooling device. The face mask includes a fan configured to blow air configured to dissipate the heat created by the thermoelectric cooling device. The face mask includes a noise attenuation system configured to attenuate the generated noise that is radiated into the environment, and thus, heard by the user due to use of the fan.

The invention relates to an active noise reduction method and system, a storage medium, electronic equipment and a vehicle. The method comprises the steps that operation parameters of an air conditioning device on the vehicle and a first error signal collected through a preset sensor are obtained; reading noise signals corresponding to the operation parameters of the air conditioning device from a preset database as reference signals; determining a filter coefficient based on the reference signal and the first error signal; and processing the reference signal based on the filtering coefficient to obtain a control signal and playing the control signal so as to perform noise reduction on the reference signal. According to the method, by establishing the corresponding relation between the operation condition of the air conditioning device and the noise signal and combining the virtual microphone technology, noise reduction can be conducted under the condition that a reference microphone and a microphone at the target position are not installed, the cost is effectively reduced, and equipment installation is simplified.

A method that includes determining a set of one or more reverberation parameters of an extended reality (XR) environment in which a user is to participate, determining whether an audio source device is wirelessly communicatively coupled to send audio to an audio output device, in response to determining that the audio source device is not wirelessly communicatively coupled to the audio output device obtaining a microphone signal produced by a microphone of the audio source device, producing a reverberant audio signal from the microphone signal according to the set of one or more reverberation parameters, and sending the reverberant audio signal to drive a speaker driver of the audio source device.

The air-pulse generating device comprises a film structure, operating at an ultrasonic operating frequency, and a resonant chamber, formed on a side of the film structure. A resonance is formed within the resonance chamber. Due to the resonant chamber, the APG device has a peak on a frequency response of an acoustic property of the APG device at the ultrasonic operating frequency.

Disclosed are systems and methods for adaptive noise cancellation (ANC) at a virtual microphone located at the eardrum of a wearer of an earphone. The techniques estimate the level of leakiness of ambient noise in the earphone from the magnitude of the gain of the transfer function of the feed forward loop filter of the ANC. Based on the estimated leakiness, the techniques estimate the transfer function of the feed forward loop filter to compensate for the difference in the effect of noise cancellation at the virtual microphone and error microphone. A bias term that represents the difference in the frequency response of the attenuated noise at the virtual and error microphone may be added to the adaptive feed forward algorithm. The ANC operation may apply the bias term to the adaptive feed forward loop filter to reduce the ambient noise at the eardrum rather than at the error microphone.