Media system with multiple digital assistants
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.
1. A computer implemented method for providing voice control using multiple digital assistants, comprising:
selecting, by at least one processor, a first digital assistant from a plurality of digital assistants to process a voice input using a trigger word in the voice input, wherein the selected first digital assistant is mapped to the trigger word;
generating an intent from the voice input;
determining that a second digital assistant from the plurality of digital assistants is unmapped to the trigger word, and that the second digital assistant processes a type of the intent from the voice input more often than the selected first digital assistant; and
selecting the second digital assistant from the plurality of digital assistants to process the voice input based on the determining.
2. The 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, default application setting, a search result, or metadata in the intent.
3. The method of claim 1 , further comprising:
refining the intent based on information in a cloud computing platform.
4. The method of claim 1 , wherein the generating the intent further comprises:
generating the intent from the voice input using the selected first digital assistant.
5. The method of claim 1 , wherein the generating the intent further comprises:
converting the voice 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 method of claim 1 , wherein the determining further comprises:
determining that the second digital assistant processes the type of the intent from the voice 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 type of the intent.
7. The 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. A voice 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 to process a voice input using a trigger word in the voice input, wherein the selected first digital assistant is mapped to the trigger word;
generate an intent from the voice input;
determine that a second digital assistant from the plurality of digital assistants is unmapped to the trigger word, and that the second digital assistant processes a type of the intent from the voice input more often than the selected first digital assistant; and
select the second digital assistant from the plurality of digital assistants to process the voice input based on the determining.
9. The voice platform of claim 8 , wherein the at least one processor is further configured to:
transmit 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, default application setting, a search result, or metadata in the intent.
10. The voice 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 voice platform of claim 8 , wherein to generate the intent, the at least one processor is further configured to:
generate the intent from the voice input using the selected first digital assistant.
12. The voice platform of claim 8 , wherein to generate the intent, the at least one processor is further configured to:
convert the voice 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 voice platform of claim 8 , wherein to determine that the second digital assistant processes the type of the intent from the voice 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 type of the intent from the voice 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 type of the intent.
14. The voice 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, cause the at least one computing device to perform operations comprising:
transmitting a voice input to a voice platform, wherein the voice platform selects a first digital assistant from a plurality of digital assistants to process the voice input using a trigger word in the voice input, generates an intent from the voice input, determines that a second digital assistant from the plurality of digital assistants is unmapped to the trigger word, and that the second digital assistant processes a type of the intent from the voice input more often than the selected first digital assistant, and selects the second digital assistant from the plurality of digital assistants to process the voice input based on the determining; and
receiving the intent from the voice platform.
16. The non-transitory computer-readable medium of claim 15 , wherein the receiving the intent from the voice platform further comprises:
receiving the intent at a voice adaptor, wherein the voice adaptor selects an application to process the intent based on a fixed rule, default application setting, a search result, or metadata in the intent.
17. The non-transitory computer-readable medium of claim 15 , wherein the voice platform refines the intent based on information in a cloud computing platform.
18. The non-transitory computer-readable medium of claim 15 , wherein the voice platform converts the voice 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 voice platform determines that the second digital assistant processes the type of the intent from the voice 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 type of the intent.
20. The non-transitory computer-readable medium of claim 19 , wherein the voice platform, in response to selecting the second digital assistant, increments a count in the crowdsourced data that indicates a number of times the second digital assistant was selected.