Sets With Customised Acoustic Characteristics TRIZ Cases

Pink noise band, speech, and music tests build a more realistic hearing profile and personalized presets for real-world hearing aid use.

Repeated clinic visits delay hearing-aid tuning; a smartphone app lets users generate and apply audiogram adjustments in real time.

Segmenting mixed signals into spatial channels for independent compression preserves interaural-level difference cues and prevents cross-modulation artifacts.

A spatial filterbank divides acoustic space into subspaces to generate directional sound signals for hearing systems.

Hearing assistance device logs wearer acoustic environment data for adaptive fitting process customization.

A cochlear implant sound processor establishes a network link to receive and store updated program data from a remote computing system.

A hearing device adjusts audio processing parameters using a biased user preference learning algorithm that stores target values in non-volatile memory.

A hearing aid shifts high frequency sounds to lower bands while adjusting energy levels.

A hearing aid system uses multiple equalizers and a Bluetooth module to adjust audio frequency bands for personalized sound amplification.

A binaurally coordinated dynamic range compression system adjusts audio gains to preserve spatial cues in hearing aids.

Scene-dependent own voice processing in hearing aids resolves non-optimal intensity and frequency spectrum reproduction across varying acoustic environments.

Motion sensors and distance estimation detect intended wearing position, enabling standby mode to reduce power consumption.

A hearing aid adjusts electromagnetic signal mixing based on acoustic correlation.

Segmented acoustic processing applies archetypal temporal patterns to improve neural correlates of temporal processing in sensorineural hearing loss.

A hearing aid applies directional processing to high frequencies and omni-directional processing to low frequencies.

Movable and fixed clusters in a hearing device classifier shift positions to adapt to unforeseen listening situations while maintaining stable behavior.

An ear-worn hearing aid adjusts audio processing parameters dynamically to support both over-the-counter and prescription operational modes.

A hearing assistance device adjusts signal processing parameters using a mobile interface and server-based dimension reduction algorithm.

A hearing aid system uses cognitive state analysis to dynamically adjust audio characteristics for improved sound intelligibility.

An impact sensor generates a reset signal to reboot the digital processor, restoring operation when users cannot access battery compartments.

A hearing aid fitting system restricts user input based on calculated modifier effectiveness values to ensure adjustments remain within perceptible ranges.

A hearing system decision unit assesses hardware availability before executing requested functionalities.

A hearing aid vibration sensor detects user motion to adjust audio settings, reducing rumble from chewing or walking without increasing power consumption.

A smart hearing amplifier integrates a photoplethysmography sensor and microcontroller to process bio-data signals.

A hearing aid simulation model uses AI to iteratively optimize parameter settings based on user data and environmental sensing.

A hearing aid amplification factor calculation method using weighted signal components.

Context-dependent voice commands trigger automatic parameter adjustments, resolving the contradiction between speech intelligibility and manual operation ease.

A hearing aid signal processor calculates direct transmission gain through the vent to adjust amplification levels dynamically.

Periodic synchronization of binaural hearing devices prevents settings divergence in asymmetric situations while reducing power consumption.

A hearing aid applies frequency distortion to decorrelate output signals from environmental sound.