Hearing Aids Signal Processing TRIZ Cases

Segmenting compression into independent points preserves fine-tuning effects against adaptive processing interference.

A binaural hearing system transmits noise estimates between devices to improve signal processing accuracy.

Cross-correlation analysis determines effective time delays between microphone signals to maintain directivity performance despite wearing position deviations.

A hearing aid feedback control system calculates a correlation measure between input and output signals to distinguish external tones from feedback.

A guide unit anchors a hearing device between the tragus and antitragus to stabilize the ear part.

A binaural hearing aid device adjusts time delay and sound level of wireless rear signals to create surround sound.

An in-ear device captures subvocalized utterances using internal sensors to interpret mechanical vibrations as digital commands.

Wireless communication device adjusts calibration signals using feedback from the hearing device to ensure accurate self-fitting.

A hearing aid system uses remote text-to-speech synthesis to convert audio streams into intelligible speech for users.

Audio device system compares speech content to isolate desired speaker signals, suppressing background noise without complex sensors.

A hearing aid system measures electrical impedance at multiple DC bias levels to evaluate non-linear effects in the output transducer.

An AI algorithm processes user feedback to autonomously adjust hearing aid parameters in real time.

Matched filters in hearing aids compensate for amplitude and phase changes in diffuse noise, improving signal-to-noise ratio while preserving spatial awareness.

Modulating forward gain in sync with the feedback loop delay eliminates acoustic howling while preserving signal energy and sound quality.

A hearing instrument sealing element uses electroactive material to vary acoustic impedance, minimizing the occlusion effect and improving user comfort.

A binaural hearing system adjusts automatic gain control parameters across devices to preserve interaural level differences.

A hearing device updates its configuration using authenticated packages verified against stored certificates.

Frequency transition transmits inaudible signals to the contralateral ear, resolving speech perception trade-offs inherent in frequency lowering.

A sound processing system uses speech recognition to control hearing devices, resolving the trade-off between ease of operation and device complexity.

A joint spectral gain adaptation module shapes sound spectra using aided-ear and bare-ear loudness models.

A hearing device system updates parameters using a parameterized objective function and user preference selection.

Circuitry computes dynamic gain adjustments from measured environmental noise to optimize signal-to-noise ratios without manual user intervention.

A hearing device segments audio via unidirectional and omnidirectional microphones to reduce background noise while maintaining ambient sound awareness.

A hearing prosthesis sound processor automatically configures settings based on visual interaction signals from an external device.

A transient suppression circuit rectifies input signals and applies calculated gain to reduce harshness.

Neural network processor selects optimized node parameters from pre-trained candidates to resolve device complexity and improve speech recognition accuracy.

A hearing aid applies dynamic compression ratios to distinguish modulated speech from unmodulated background noise.

Selective frequency transposition moves input sub-band signals to target ranges using perceptual masking detection.

Visual speech mapping displays processed text and signal effects, enabling precise frequency response adjustments for complex real-world sounds.

A hearing aid generates operational parameters from source-specific received signals to emphasize desired audio.

A binaural hearing aid selects unidirectional transmission based on local signal metrics to reduce processing delay.

Frequency compression method restores harmonic grid structure by correcting spectral line positions to eliminate perceptible artefacts in voiced speech signals.

A hearing device weights electrical acoustic signals based on membership in predefined classes to produce prioritized output sound.

An artificial neuronal network determines acoustic mass from audiograms to resolve accuracy and complexity trade-offs.

A hearing device adjusts acoustic settings based on caller identification to optimize sound processing.

A wireless audio transmission system adjusts sound signals using stored parameters for telephony, music, and ambient modes.

Dynamic frequency transposition in hearing aids improves speech intelligibility while preserving spatial hearing cues.

A hearing device uses a direction estimator to select audio processing schemes based on head orientation.

A hearing assistance suitability determining device assesses dichotic aid effectiveness using frequency characteristics.

A hearing aid system applies personalized sound ranges to audio signals for targeted intelligibility.

A neckband hearing aid positions a microphone to mimic human ear sound reception patterns.

An adjustable hearing aid vent reduces acoustic feedback by dynamically altering its opening cross-section based on transfer function analysis.

A hearing instrument calculates coherence between microphone signals to attenuate reverberant sound.

An allocation mechanism assigns sound reproduction to playback devices based on spatial arrangement and acoustic criteria.

An auxiliary processing device separates audio sources to improve intelligibility while reducing battery drain on hearing aids.

A smartphone application implements real-time signal processing for hearing aid functionality.

A hearing aid signal processor calculates Speech Intelligibility Index gradients to adjust frequency-dependent gains in real-time.

Telecoil signals determine hearing instrument context via machine learning, resolving noise interference in complex environments.

Voice activity detection circuitry segments audio streams to isolate speech segments for targeted keyword evaluation.