Hearing Aids Signal Processing TRIZ Cases

Multiple hearing devices exchange audio data via radio links to merge spatial signals, suppressing background noise while preserving speech clarity.

An audible assistance facilitator system processes speech signals to identify speakers and deliver audio feedback via hearing devices.

Correction unit removes residual bias from feedback path estimates in hearing devices.

Synchronizes adaptation parameters between binaural hearing devices to resolve noise attenuation and localization trade-offs.

A hearing device adjusts user control settings from start to target values over an acclimatization phase.

A hearing aid gain control unit modifies full-on gain limits based on directional beamforming weights to maintain stable amplification.

A hearing aid system transforms speech signals using machine learning models trained on individual user profiles.

Parallel algorithms and classification adjust mixture ratios, resolving adaptability complexity trade-offs in noisy environments.

A hearing assistance apparatus links inferred words to corresponding audio segments for direct playback.

A transient suppression circuit rectifies input signals and generates a threshold envelope to suppress harsh transient sounds without distorting speech.

A hearing aid adjusts sound output energy across multiple steps while simultaneously reducing specific input frequencies.

A hearing aid adds audible noise with a time-varying volume envelope proportional to user perception.

Source separation isolates audio components to apply independent gain control, reducing cross-source modulation and artificial envelope fluctuations.

A hearing aid algorithm determines the frequency compression knee point using the user's maximum audible frequency.

A hearing aid fitting system classifies auditory loss using speech intelligibility tests to tailor device parameters.

A hearing device attenuates output sound pressure levels above a user-specific upper speech recognition kneepoint to improve audio processing.

Dynamic recovery time adjustment reduces vowel noise amplification while maintaining fast consonant response for improved speech recognition.

A speech analysis system evaluates speaker speed, pitch, and volume to provide real-time feedback.

Optical transmission via visual codes secures patient data against wireless hacking while enabling remote parameter adjustments.

Maximum-A-Posteriori adaptive filter estimation using Gaussian distributions for hearing aid signal processing.

Capacitive sensor electrodes detect wearing position deviations to enable adaptive signal processing adjustments for improved sound quality.

A speech processing device detects individual speaker utterances to calculate conversation establishment levels for accurate partner identification.

Dual-link hearing aids detect falls using motion sensors and signal thresholds, distinguishing loss from removal.

Independent component analysis segments mixed audio signals to eliminate background noise interference while preserving relevant sound clarity.

A fitting device displays hearing thresholds and sound samples to adjust input output behavior.

A hearing aid defect simulator generates sound samples to demonstrate acoustic variations caused by ear wax congestion and transducer degradation.

A hearing device uses a pitch estimator to reconstruct reference speech signals from microphone inputs for adaptive processing.

A binaural hearing system estimates speech intelligibility using processed signals from both ears to optimize audio output.

A spatial synthesis filter superimposes auditory cues onto external microphone signals in hearing instruments.

A steerable inductive field system aligns with a hearing aid telecoil to optimize signal coupling.