Phase-shifting flow paths create destructive interference in fluid-borne sound, reducing bothersome target frequencies within a housing.
Separate fast cancellation processing from slower adaptive-filter updates, using coefficient upsampling to stabilize vehicle noise reduction and limit delay.
Multiple microphones, AFC, beamforming, and phase shifting reduce acoustic feedback while preserving maximum stable gain.
Varying listener positions can disrupt tonal balance; interchangeable inserts reshape directivity without changing the base.
Fixed masking signals limit privacy across speech content, while neural models generate tailored signals for different masking needs.
Head movement triggers updates to only relevant transfer functions, reducing HF-ANC computation and memory demands while preserving accuracy.
Curved openings redirect speaker sound toward the listener, improving hands-free volume and clarity without moving the speakers.
Scene colliders apply matching acoustic characteristics to a conversation partner’s voice, preserving realism as avatars move through virtual areas.
Micro-level audio changes remain indistinguishable to listeners while degrading a generative model’s ability to create realistic copies of copyrighted works.
Ray patterns and geometric validity tests estimate early audio reflections from voxel collisions without known surface orientation for real-time VR.
Model-based nonlinear filtering corrects sound-generator response and stabilizes active cancellation as passenger head positions change.
See how a flow-around body disrupts double-ring modes and an annular chamber uses resonance to reduce high-frequency sound with simpler molding.
Pre-generated inverse tracks synchronize with source audio to cancel unwanted voices or commentary while preserving other audio components.