US 12,738,290 B2Granted

Systems and methods for acoustic echo cancellation for audio playback devices

AssigneeSonos, Inc.

InventorsAaron Jones, Saeed Bagheri Sereshki

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Abstract

Systems and methods for improved acoustic echo cancellation and convergence state detection are disclosed. An adaptive filter of a network microphone device (NMD) can be used to generate a filter output to be applied to microphone input signals for echo cancellation. The filter output can be generated using a reference signal corresponding to source audio content played back via transducers of the NMD. The adaptive filter can be updated dynamically over time based at least in part on an adaptation parameter that determines the rate of adaptation. In response to determining that a reset event has occurred, the adaptation parameter can be reset to a default value. Additionally or alternatively, in response to detecting a convergence error, the adaptation parameter can be reset to a default value.

Claims20

Dependent claims

A network microphone device (NMD) comprising:

one or more microphones;
one or more audio drivers;
one or more processors;
and
data storage having instructions therein that, when executed by the one or more processors, cause the NMD to perform operations comprising:
receiving a source stream of audio comprising source audio content to be played back via the one or more audio drivers;
playing back, via the one or more audio drivers, the source audio content;
receiving, via the one or more microphones, a captured stream of microphone input signals;
generating, via an adaptive filter, a filter output to be applied to the microphone input signals, the filter output generated using a reference signal corresponding to the source audio content and the microphone input signals, wherein the adaptive filter H for a given frame m is dynamically updated according to the equation:
H
⁡
(
m
)
=
H
⁡
(
m
-
1
)
+
U
⁡
(
m
)
where U(m) is an update function having a variable adaptation parameter;
incrementing or decrementing the adaptation parameter over time based at least in part on the filter output;
determining that a reset event has occurred, wherein the reset event comprises an indication that the NMD has moved;
and
after determining that the reset event has occurred, resetting the adaptation parameter to a default value.

30 more elements

A tangible, non-transitory, computer-readable medium storing instructions that, when executed by one or more processors of a network microphone device (NMD), cause the NMD to perform operations comprising:

receiving, at the NMD, a source stream of audio comprising source audio content to be played back via one or more audio drivers of the NMD;
playing back, via the NMD, the source audio content;
receiving, via one or more microphones of the NMD, a captured stream of microphone input signals;
generating, via an adaptive filter of the NMD, a filter output to be applied to the microphone input signals, the filter output generated using a reference signal corresponding to the source audio content and the microphone input signals, wherein the adaptive filter H for a given frame m is dynamically updated according to the equation:
H
⁡
(
m
)
=
H
⁡
(
m
-
1
)
+
U
⁡
(
m
)
where U(m) is an update function having a variable adaptation parameter;
incrementing or decrementing the adaptation parameter over time based at least in part on the filter output;
determining that a reset event has occurred, wherein the reset event comprises an indication that the NMD has moved;
and
after determining that the reset event has occurred, resetting the adaptation parameter to a default value.

25 more elements

Dependencies are inferred from the claim text.

Facts

Application: 18/561,028Filed 20 May 2022 · us provisional application
Priority: 21 May 2021
Published: US 2024/0257821 A11 Aug 2024
Granted: 15 Sep 2026
Term ends: Not estimatedThe source records don’t support an estimate.

Classification8 codes

G10L 21/0216
Noise filtering: characterised by the method used for estimating noise
G10L 25/84
Detection of presence or absence of voice signals: for discriminating voice from noise
H04R 27/00
Public address systems
G10L 2021/02082
Noise filtering: the noise being echo, reverberation of the speech