	US 11,984,117 B2
	Selective adaptation and utilization of noise reduction technique in invocation phrase detection
Christopher Hughes, Redwood City, CA (US); Yiteng Huang, Basking Ridge, NJ (US); Turaj Zakizadeh Shabestary, San Francisco, CA (US); and Taylor Applebaum, San Francisco, CA (US)
Assigned to GOOGLE LLC, Mountain View, CA (US)
Filed by Google LLC, Mountain View, CA (US)
Filed on Aug. 12, 2022, as Appl. No. 17/886,726.
Application 17/886,726 is a continuation of application No. 16/886,139, filed on May 28, 2020, granted, now 11,417,324.
Application 16/886,139 is a continuation of application No. 16/609,619, granted, now 10,706,842, issued on Jul. 7, 2020, previously published as PCT/US2019/013479, filed on Jan. 14, 2019.
Claims priority of provisional application 62/620,885, filed on Jan. 23, 2018.
Prior Publication US 2022/0392441 A1, Dec. 8, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G10L 15/20 (2006.01); G10L 15/02 (2006.01); G10L 15/08 (2006.01); G10L 15/22 (2006.01); G10L 21/0232 (2013.01); G10L 25/84 (2013.01); G10L 21/0216 (2013.01)

CPC G10L 15/20 (2013.01) [G10L 15/02 (2013.01); G10L 15/08 (2013.01); G10L 15/22 (2013.01); G10L 21/0232 (2013.01); G10L 25/84 (2013.01); G10L 2015/025 (2013.01); G10L 2015/088 (2013.01); G10L 2015/223 (2013.01); G10L 2021/02166 (2013.01)]

17 Claims

1. A method of detecting an invocation phrase for an automated assistant, the method implemented by one or more processors of a client device and comprising:

for each audio data frame of a first set of sequential audio data frames of a stream of audio data frames that are based on output from one or more microphones of the client device:

generating a corresponding noise reduction filter based on the audio data frame, and

storing the corresponding noise reduction filter in a first in, first out buffer;

for a given audio data frame, of the stream of audio data frames, that immediately follows the first set of sequential audio data frames:

generating a filtered data frame based on processing the given audio frame using the corresponding noise reduction filter that is at a head of the first in, first out buffer,

wherein the corresponding noise reduction filter, that is at the head of the first in, first out buffer, and that is used in generating the filtered data frame, was generated based on an earlier in time audio data frame, of the first set of sequential audio data frames, but not generated based on any more recent in time of the first set of sequential audio data frames, and

determining whether the filtered data frame indicates presence of one or more phonemes of the invocation phrase based on processing the filtered data frame using a trained machine learning model;

determining whether the invocation phrase is present in the stream of audio data frames based on whether the filtered data frame indicates presence of one or more of the phonemes of the invocation phrase.