US 11,790,882 B2
Active noise cancellation filter adaptation with ear cavity frequency response compensation
Youhong Lu, San Diego, CA (US); Lelin Wang, Shenzhen (CN); Guoliang Li, Shenzhen (CN); and Ching-Hua Yeh, San Diego, CA (US)
Assigned to SHENZHEN GOODIX TECHNOLOGY CO., LTD., Shenzhen (CN)
Filed by Shenzhen Goodix Technology Co., Ltd., Shenzhen (CN)
Filed on Mar. 15, 2022, as Appl. No. 17/695,816.
Prior Publication US 2023/0298558 A1, Sep. 21, 2023
Int. Cl. G10K 11/178 (2006.01); H04R 1/10 (2006.01)
CPC G10K 11/17854 (2018.01) [G10K 11/17823 (2018.01); G10K 11/17825 (2018.01); G10K 11/17881 (2018.01); H04R 1/1083 (2013.01); G10K 2210/1081 (2013.01); G10K 2210/3026 (2013.01); G10K 2210/3027 (2013.01); G10K 2210/3044 (2013.01); G10K 2210/3048 (2013.01); H04R 2460/01 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for ear cavity frequency response (EFCR) adaptive noise cancelation (ANC) with path-compensation over an entire main path to the eardrum (MPED), the method comprising:
receiving, while a user is wearing a headphone earpiece to manifest a present wearer/wearing condition relative to an outer ear of the user, a reference noise signal representing ambient noise at an out-facing side of the headphone earpiece, an anti-noise signal generated by an ANC system of the headphone earpiece using a present ANC filter configuration to cancel an in-ear noise signal corresponding to the ambient noise as manifest at a target location at an in-facing side of the headphone earpiece due to acoustical path effects of the MPED, and a residual noise signal representing a combination of the anti-noise signal and the in-ear noise signal;
for each kth pre-trained ANC model of K pre-trained ANC models, each having a kth anti-noise path (ANP) filter model and a kth MPED filter model previously trained on a kth trained wearer/wearing condition, K being a positive integer greater than one:
computing a kth estimated actual noise signal by using the kth ANP filter model to transform the anti-noise signal into a path-compensated anti-noise signal, and removing the path-compensated anti-noise signal from the residual noise signal;
computing a kth estimated eardrum noise signal by using the kth MPED filter model to transform the reference noise signal; and
computing a kth candidate residual noise between the kth estimated actual noise signal and the kth estimated eardrum noise signal;
selecting one of the pre-trained ANC models as yielding the lowest kth candidate residual noise; and
directing the ANC system of the headphone earpiece to replace the present ANC filter configuration with a new ANC filter configuration based on the selected one of the pre-trained ANC models.