Profile selection routine matches user ear canal acoustic characteristics to stored controller parameters for customized noise cancellation.
Personal listening devices use accelerometers to detect motion and reconfigure anti-noise generation, stabilizing performance during walking.
A hearing device generates a masking signal to linearly superpose with the preliminary output, compensating for destructive interference.
A structural vibration sensor detects body-induced and receiver-induced vibrations in an ear-wearable device.
Segmented diaphragms with distinct geometries optimize transfer characteristics to resolve poor sound quality in strong magnetic fields.
A noise cancellation method selects pre-stored filtering parameters to match the current ear canal leakage state.
Headphones with in-ear microphones monitor sound pressure levels during hearing tests.
A feedback adaptive noise cancellation circuit adjusts gain via a variable element to generate anti-noise signals.
Digital filter adaptation compensates for anatomical variations to maintain uniform noise cancellation performance across different users.
An ear cup uses dual reference sensors to switch between inner and outer active noise cancellation paths for precise sound attenuation.
A hearing device controller compares signal-to-noise ratios from both ears to modify the receiver output.
System analyzes error microphone frequency response to identify users and switch states, eliminating extra sensors.
Wearable earpiece detects ambient audio signals and processes suprathreshold sound levels to modify output via active noise cancellation.
An auto regressive unit adjusts adaptive filter adaptation rates using predictive signal ratios to resolve entrainment artifacts from periodic input signals.
A virtual microphone model estimates acoustic transfer functions to optimize noise cancellation at the eardrum.
An intermediary circuit generates an antiphase signal superimposed on pressure detection to cancel vibration-induced noise and improve accuracy.
Portable auditory screening device generates test tones and adjusts gain based on detected ambient noise levels.
Active noise reduction eliminates ambient interference to enable accurate tinnitus frequency determination in domestic environments.
A variable gain amplifier adjusts pass-through signal levels in active noise reduction devices to maintain hear-through functionality.
A hearing aid filter applies targeted attenuation at calculated cancellation frequencies to mitigate acoustic interference.
Segmenting sensor systems and calibrating proximity sensors after off-head detection resolves reliability issues in wearable audio devices.
An ANC processing circuit computes the ratio of error signal magnitudes to assess noise cancellation performance using existing hardware components.
A wireless earphone and mobile phone system estimates distance using round-trip audio sequence timing.
Parallel signal paths blend active noise reduction with pass-through audio, maintaining ambient sound awareness without switching modes.
Audio processor adjusts filter transfer functions on ambient noise to generate tinnitus training signals.
An earpiece detects whether its acoustic duct is sealed or unsealed to switch between noise cancellation and environmental awareness modes.
A vibration isolator between housing sections absorbs receiver noise, improving microphone signal quality without adding external components.
Dynamic microphone role assignment resolves signal distortion from close proximity while maintaining effective noise reduction.
Adjustable microphone arrangement generates pseudo clean speech signals by comparing noisy segments recorded with different directivity patterns.
An adjustable active noise control system segments the audio spectrum to apply distinct processing characteristics across different frequency regions.
A detection circuit analyzes digital signals to switch anti-noise filters based on headphone position.
An earphone with an automatic blocking function detects danger occurrence notification sounds to turn off noise cancellation.
Capacitive sensing detects head presence to automate power management, resolving manual control friction and user forgetfulness.
A headset with active noise cancellation and augmented reality glasses filters equipment noise while displaying environmental data.
Composite eartips integrate electrical conduction with mechanical comfort to detect racing mind states and optimize sensory stimuli.
A mu-adjustment unit dynamically scales the step-size parameter based on reference signal amplitude to maintain filter coefficient stability.
A multipurpose microphone routes acoustic signals to digital signal processors that apply mode-specific gain levels.
An in-ear speaker hybrid system uses an active venting valve and ambient sound pickup to deliver audio transparency.
Multi-stage classification enables dynamic mode adjustment in hearing prostheses, resolving suboptimal outcomes from static single decisions.
Detects whether earbuds are worn to cycle through suppression stages, restoring active noise control functionality without howling.
Demonstration device initiates binaural playback of audio files paired with video interfaces to showcase wearable audio capabilities.
An active noise control system calculates a target filter from an expected noise curve to process external signals.
Time-domain active noise cancellation combined with frequency-domain processing mitigates comb-filter effects caused by signal delays.
An earphone automatically transitions from active noise reduction to aware mode upon detecting a conversation request.
Active noise reduction earphones measure wearing fit information to calculate optimal noise reduction amounts, ensuring consistent left-right performance.