Micro-Doppler radar helps a hearing aid localize stationary non-acoustic objects, improving filter adjustment and reverberation handling.
CW radar uses micro-Doppler from slight user motion to locate silent nearby objects and tune hearing aid processing for clearer speech.
Assessment-guided beamforming and noise reduction help a hearing aid cut residual noise without distorting speech or reducing intelligibility.
Assessment-guided beamforming and noise reduction help hearing aids cut residual noise without degrading speech intelligibility.
User behavior constrains hearing aid parameter space into subspaces, enabling precise tuning through simpler app or slider controls.
EEG and eye movement decoding guide target-voice extraction and fusion, improving hearing aid output in noisy acoustic environments.
Head orientation and acoustic-source detection automatically narrow or widen the beam, balancing focused speech with awareness of other sources.
Predetermined filters align audio signals to accelerate adaptive convergence and improve noise suppression while reducing computing power.
High sensitivity triaxial magnetometers enable telecoil switching and environmental mapping without strict placement constraints.
Context-aware platform generates sound adjustment suggestions for hearing aids based on user activity and emotion data.
Adaptive automatic gain control adjusts compression schemes based on detected sound direction to emphasize relevant speech signals.
A binaural hearing aid automatically switches between omnidirectional and directional microphone modes based on real-time signal analysis.
A shared diaphragm structure eliminates differential drift in directional microphones by ensuring identical tension changes across both sensing elements.
A hearing aid system coordinates auditory units to align perceptions through parameter adjustments.
A joint optimization model merges attention decoding with beamforming to resolve incorrect talker suppression and reduce processing complexity.