US 12,244,997 B2
Adaptive active noise control system with hearing assistance mechanism
Guohua Sun, Santa Clara, CA (US); Leng Ooi, San Jose, CA (US); and Jae Lee, Palo Alto, CA (US)
Assigned to Google LLC, Mountain View, CA (US)
Appl. No. 17/768,667
Filed by Google LLC, Mountain View, CA (US)
PCT Filed Sep. 16, 2020, PCT No. PCT/US2020/050998
§ 371(c)(1), (2) Date Apr. 13, 2022,
PCT Pub. No. WO2022/060354, PCT Pub. Date Mar. 24, 2022.
Prior Publication US 2022/0417647 A1, Dec. 29, 2022
Int. Cl. H04R 1/10 (2006.01); G10K 11/178 (2006.01); H04R 25/00 (2006.01)
CPC H04R 1/1083 (2013.01) [G10K 11/17881 (2018.01); H04R 1/1041 (2013.01); H04R 25/505 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A wearable device, comprising:
one or more microphones;
one or more processors in communication with the one or more microphones, the one or more processors configured to:
receive an audiogram comprising at least one frequency associated with a hearing loss of a user;
determine, based on the audiogram, an audio gain profile;
receive audio content including at least one of external audio from the one or more microphones or playback audio; and
adjust an audio output, the adjustment:
based on the audio gain profile and the received audio content; and
performed using an adaptive hearing block, the adaptive hearing block comprising at least two adjustment modules from a set of two or more modules, the set of two or more modules comprising:
an active noise control module (ANC) configured to apply an ANC gain, the ANC gain determined by a machine-learned (ML) model;
a hearing assistance control module (HAC) configured to apply a HAC gain, the HAC gain determined by the ML model;
a total noise cancellation module (TNC) configured to apply a TNC gain, the TNC gain determined by the ML model;
a passive noise cancellation module (PNC); or
a transparency control module (XPC) configured to apply an XPC gain, the XPC gain determined by the ML model.