NOISE FIELD CONTROL USING ACTIVE SOUND PROPAGATION AND OPTIMIZATION

We present a novel algorithm that uses active loudspeakers to reduce the noise level in an acoustic environment. We utilize a state-of-the-art sound propagation technique to compute a room's impulse responses accurately and then use it to perform acoustic optimization. We minimize the overall noise level in a target region by solving the driving signals of active loudspeakers, which interfere with and cancel out the noise from a linear system. Our algorithm is evaluated on complex indoor benchmarks and shows an overall noise reduction of up to 30:0dB with noise frequency up to 8kHz.