A filter coefficient optimization method calculates optimal values using a regularization term that accounts for phase differences between adjacent frequency bins.
A mobile cluster-based audio adjusting system integrates omnidirectional transducers with computing devices to autonomously sense and adjust sound outputs.
A signal processing system estimates separation filters and computes directional characteristics distributions to connect signals based on similarity.
Microphone array segmentation automates audio focusing and video zooming, eliminating manual user inputs for improved capture quality.
A virtual microphone synthesizes audio streams from physical sensors to capture sound at a specified location.
Audio apparatus detects user direction and body motion to dynamically adjust lighting effects across multiple directions.
An electronic device detects user location and ambient sound to dynamically adjust external audio output properties.
Beamforming algorithms isolate individual sound sources from mixed video audio, enabling selective volume or pitch modification of specific visual objects.
An assistance system adjusts speech output parameters based on sensor data to optimize intelligibility for users.
Processor extends audio frequency ranges to simulate hearing loss, addressing user naivety about dangerous noise exposure.
Sensor modules on the elastic body detect deformation to adjust volume automatically, preventing hearing damage from improper insertion.