IP Library Granted Patent US 12,614,549
Granted Patent B2
US 12,614,549 · App. 18/431,516 · Granted Apr 28, 2026

Trigger word detection with multiple digital assistants

Inventors: Frank Maker (Livermore, CA); Andrey Eltsov (Pleasanton, CA); Robert Curtis (Los Gatos, CA); Gregory Medding (San Jose, CA)
Assignee: Roku, Inc.
G10L15/22G10L15/08G10L21/0232G10L2015/088G10L2021/02082
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Quick Facts
Patent No.
US 12,614,549
App. No.
18/431,516
Granted
Apr 28, 2026
Kind
B2
Abstract

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for selecting a digital assistant from among multiple digital assistants. An embodiment operates by receiving a voice input containing a trigger word at a first voice adapter associated with a digital assistant that generates a first confidence score for the trigger word. The embodiment further receives the voice input at a second voice adapter that generates a second confidence score for the trigger word. The embodiment determines the first confidence score is higher than the second confidence score. The embodiment selects the digital assistant based on the determining.

Claims (63)

1 . A computer implemented method for selecting a software agent, comprising:

receiving, by at least one processor, a modulated audio stream;

calculating, using automated speech recognition, a first confidence score that the modulated audio stream contains a first trigger word, wherein the first trigger word is mapped to a first software agent among a plurality of software agents stored in a voice platform;

calculating, using automated speech recognition, a second confidence score that the modulated audio stream contains a second trigger word, wherein the second trigger word is mapped to a second software agent, and the second trigger word is different from the first trigger word, and wherein the second software agent is configured to process the modulated audio stream differently than the first software agent;

determining the first confidence score is higher than the second confidence score; and

in response to the determining, transmitting a request to the voice platform to select the first software agent from among the plurality of software agents stored in the voice platform.

2 . The computer implemented method of claim 1 , further comprising:

normalizing the first confidence score based on a first confidence score criteria.

3 . The computer implemented method of claim 1 , further comprising:

determining the first confidence score exceeds a threshold value.

4 . The computer implemented method of claim 1 , further comprising:

determining that the first confidence score was calculated within a timeout period.

5 . The computer implemented method of claim 1 , wherein the determining further comprises:

determining the first confidence score and the second confidence score are within an error range; and

determining the first confidence score is higher than the second confidence score based on a priority criteria.

6 . The computer implemented method of claim 1 , wherein the receiving the modulated audio stream comprises:

receiving the modulated audio stream from an audio responsive electronic device, wherein the audio responsive electronic device is configured to:

output a tone at a speaker;

determine an echo cancellation delay based on a time of receipt of the tone at a microphone; and

perform echo cancellation on the modulated audio stream based on the echo cancellation delay.

7 . The computer implemented method of claim 1 , further comprising:

in response to the transmitting, providing an indication that the first software agent was selected to an audio responsive electronic device.

8 . A media device, comprising:

a memory; and

at least one processor coupled to the memory and configured to:

receive a modulated audio stream;

calculate, using automated speech recognition, a first confidence score that the modulated audio stream contains a first trigger word, wherein the first trigger word is mapped to a first software agent among a plurality of software agents stored in a voice platform;

calculate, using automated speech recognition, a second confidence score that the modulated audio stream contains a second trigger word, wherein the second trigger word is mapped to a second software agent, and the second trigger word is different from the first trigger word, and wherein the second software agent is configured to process the modulated audio stream differently than the first software agent;

determine the first confidence score is higher than the second confidence score; and

in response to the determination, transmit a request to the voice platform to select the first software agent from among the plurality of software agents stored in the voice platform.

9 . The media device of claim 8 , wherein the at least one processor is further configured to:

normalize the first confidence score based on a first confidence score criteria.

10 . The media device of claim 8 , wherein the at least one processor is further configured to:

determine the first confidence score exceeds a threshold value.

11 . The media device of claim 8 , wherein the at least one processor is further configured to:

determine that the first confidence score was calculated within a timeout period.

12 . The media device of claim 8 , wherein to determine the first confidence score is higher than the second confidence score, the at least one processor is further configured to:

determine the first confidence score and the second confidence score are within an error range; and

determine the first confidence score is higher than the second confidence score based on a priority criteria.

13 . The media device of claim 8 , wherein the at least one processor is further configured to:

receive the modulated audio stream from an audio responsive electronic device, wherein the audio responsive electronic device is configured to:

output a tone at a speaker;

determine an echo cancellation delay based on a time of receipt of the tone at a microphone; and

perform echo cancellation on the modulated audio stream based on the echo cancellation delay.

14 . The media device of claim 8 , wherein the at least one processor is further configured to:

in response to the transmission, provide an indication that the first software agent was selected to an audio responsive electronic device.

15 . A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device, cause the at least one computing device to perform operations comprising:

receiving a modulated audio stream;

calculating, using automated speech recognition, a first confidence score that the modulated audio stream contains a first trigger word, wherein the first trigger word is mapped to a first software agent among a plurality of software agents stored in a voice platform;

calculating, using automated speech recognition, a second confidence score that the modulated audio stream contains a second trigger word, wherein the second trigger word is mapped to a second software agent, and the second trigger word is different from the first trigger word, and wherein the second software agent is configured to process the modulated audio stream differently than the first software agent;

determining the first confidence score is higher than the second confidence score; and

in response to the determining, transmitting a request to the voice platform to select the first software agent from among the plurality of software agents stored in the voice platform.

16 . The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:

normalizing the first confidence score based on a first confidence score criteria.

17 . The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:

determining the first confidence score exceeds a threshold value.

18 . The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:

determining that the first confidence score was calculated within a timeout period.

19 . The non-transitory computer-readable medium of claim 15 , wherein the determining further comprises:

determining the first confidence score and the second confidence score are within an error range; and

determining the first confidence score is higher than the second confidence score based on a priority criteria.

20 . The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:

in response to the transmitting, providing an indication that the first software agent was selected to an audio responsive electronic device.

Assignments (2)
SECURITY INTEREST Recorded Sep 18, 2024
From: ROKU, INC.
To: CITIBANK, N.A.
Reel/Frame 068982/0377 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 7, 2024
From: MAKER, FRANK; ELTSOV, ANDREY; CURTIS, ROBERT; MEDDING, GREGORY
To: ROKU, INC.
Reel/Frame 066401/0798 →
Continuity (4)
Continuation 18303336 · Apr 19, 2023
Continuation 17412527 · Aug 26, 2021
Continuation 15895047 · Feb 13, 2018
Related Publication 20240177712A1 · May 30, 2024
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