Media system with multiple digital assistants

Patent metadata

Field	Value
Publication number	US-12482467-B2
Application number	US-202418598339-A
Country	US
Kind code	B2
Filing date	Mar 7, 2024
Priority date	Aug 28, 2017
Publication date	Nov 25, 2025
Grant date	Nov 25, 2025

Abstract

Disclosed herein are system, apparatus, article of manufacture, method and/or computer program product embodiments, and/or combinations and sub-combinations thereof, for providing voice control using multiple digital assistants. In some embodiments, a voice platform operates to receive a voice input from a user. The voice platform selects a digital assistant from a plurality of digital assistants based on a trigger word. The voice platform then generates an intent from the voice input using the selected digital assistant. The voice platform then transmits the intent to a media device for processing.

First claim

What is claimed is:

1 . A computer-implemented method for providing audio control using multiple digital assistants, comprising:
selecting, by an audio platform, a first digital assistant from a plurality of digital assistants in the audio platform to process an audio input using a trigger word in the audio input, wherein the selected first digital assistant is mapped to the trigger word; determining, by the audio platform, that a second digital assistant from the plurality of digital assistants in the audio platform to process an intent associated with the audio input more often than the selected first digital assistant based on tracking of the audio input, wherein the tracking comprises determining a time of day and location of the audio input; and selecting, by the audio platform, the second digital assistant from the plurality of digital assistants in the audio platform to process the audio input based on the determining.

2 . The computer-implemented method of claim 1 , further comprising:
transmitting the intent to a voice adaptor at a media device, wherein the voice adaptor selects an application to process the intent based on a fixed rule, a default application setting, a search result, or metadata in the intent.

3 . The computer-implemented method of claim 1 , further comprising:
refining the intent based on information in a cloud computing platform.

4 . The computer-implemented method of claim 1 , further comprising:
generating the intent from the audio input using the selected first digital assistant.

5 . The computer-implemented method of claim 1 , further comprising:
converting the audio input into a text input using an automated speech recognizer associated with the selected first digital assistant; and generating the intent from the text input using a natural language unit associated with the selected first digital assistant.

6 . The computer-implemented method of claim 1 , wherein the determining further comprises:
determining that the second digital assistant processes the intent associated with the audio input more often than the selected first digital assistant based on crowdsourced data, wherein the crowdsourced data indicates how often each digital assistant in the plurality of digital assistants is used to process the intent.

7 . The computer-implemented method of claim 6 , further comprising:
in response to selecting the second digital assistant, incrementing a count in the crowdsourced data that indicates a number of times the second digital assistant was selected.

8 . An audio platform, comprising:
a memory; and at least one processor coupled to the memory and configured to:
select a first digital assistant from a plurality of digital assistants in the audio platform to process audio input using a trigger word in the audio input, wherein the selected first digital assistant is mapped to the trigger word;
determine that a second digital assistant from the plurality of digital assistants in the audio platform to process an intent associated with the audio input more often than the selected first digital assistant based on tracking of the audio input, wherein the tracking comprises determining a time of day and location of the audio input; and
select the second digital assistant from the plurality of digital assistants in the audio platform to process the audio input based on the determining.

9 . The audio platform of claim 8 , wherein the at least one processor is further configured to:
transmit the intent to an audio adaptor at a media device, wherein the audio adaptor selects an application to process the intent based on a fixed rule, a default application setting, a search result, or metadata in the intent.

10 . The audio platform of claim 8 , wherein the at least one processor is further configured to:
refine the intent based on information in a cloud computing platform.

11 . The audio platform of claim 8 , wherein the at least one processor is further configured to:
generate the intent from the audio input using the selected first digital assistant.

12 . The audio platform of claim 8 , wherein the at least one processor is further configured to:
convert the audio input into a text input using an automated speech recognizer associated with the selected first digital assistant; and generate the intent from the text input using a natural language unit associated with the selected first digital assistant.

13 . The audio platform of claim 8 , wherein to determine that the second digital assistant processes the intent associated with the audio input more often than the selected first digital assistant, the at least one processor is further configured to:
determine that the second digital assistant processes the intent associated with the audio input more often than the selected first digital assistant based on crowdsourced data, wherein the crowdsourced data indicates how often each digital assistant in the plurality of digital assistants is used to process a type of the intent.

14 . The audio platform of claim 13 , wherein the at least one processor is further configured to:
in response to selecting the second digital assistant, increment a count in the crowdsourced data that indicates a number of times the second digital assistant was selected.

15 . A non-transitory computer-readable medium having instructions stored thereon that, when executed by at least one computing device of a command module, cause the at least one computing device to perform operations comprising:
transmitting an audio input to an audio platform, wherein the audio platform selects a first digital assistant from a plurality of digital assistants in the audio platform to process the audio input using a trigger word in the audio input, determines that a second digital assistant from the plurality of digital assistants in the audio platform to process an intent associated with the audio input more often than the selected first digital assistant based on tracking of the audio input, wherein the tracking comprises determining a time of day and location of the audio input, and selects the second digital assistant from the plurality of digital assistants in the audio platform to process the audio input based on the determining; and receiving the intent from the audio platform.

16 . The non-transitory computer-readable medium of claim 15 , wherein the receiving the intent from the audio platform further comprises:
receiving the intent at an audio adaptor, wherein the audio adaptor selects an application to process the intent based on a fixed rule, a default application setting, a search result, or metadata in the intent.

17 . The non-transitory computer-readable medium of claim 15 , wherein the audio platform refines the intent based on information in a cloud computing platform.

18 . The non-transitory computer-readable medium of claim 15 , wherein the audio platform converts the audio input into a text input using an automated speech recognizer associated with the selected first digital assistant, and generates the intent from the text input using a natural language unit associated with the selected first digital assistant.

19 . The non-transitory computer-readable medium of claim 15 , wherein the audio platform determines that the second digital assistant processes the intent associated with the audio input more often than the selected first digital assistant based on crowdsourced data, wherein the crowdsourced data indicates how often each digital assistant in the plurality

Assignees

• Roku Inc

Inventors

• Wood Anthony John
• Stern David
• Garner Gregory Mack

Classifications

• G10L2015/088

  Word spotting · CPC title

• H04L67/1014

  based on the content of a request · CPC title

• G06F3/167

  Audio in a user interface, e.g. using voice commands for navigating, audio feedback · CPC title

• G10L2015/223

  Execution procedure of a spoken command · CPC title

• G10L15/22 Primary

  Procedures used during a speech recognition process, e.g. man-machine dialogue · CPC title