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In this paper,an active noise control (ANC) system is developed to provide an effective and non-intrusive solution for reducing loud snoring to provide a quiet environment for a snorer’s bed partner.An adaptive least mean square (LMS)algorithm optimized for different kinds of snore signals is introduced and theoretically analyzed.Also,a residual noise masking approach is proposed to further reduce the effect of the snore noise without interfering with the LMS algorithm.Computer simulations followed by real-time experiments are conducted to demonstrate the feasibility of the snore ANC systems based on a pillow setup.For the optimum effect based on the characteristics of human hearing,the performance of the proposed approach is evaluated by using the multi-channel feedforward ANC systems based on the filtered-X least mean square (FXLMS) algorithm.Compared with a traditional headboard setup for snoring noise control,the proposed snore ANC systems optimized for ear field operation yield much higher noise reduction around the ears of the snorer’s bed partner.