Abstract: Implementations include identifying, from a database of entries reflecting past automated assistant commands submitted within a threshold amount of time relative to a current time, particular entries that each reflect corresponding features of a corresponding user submission of a particular command. Further, those implementations include determining that the particular command is a golden command, for a particular automated assistant function, responsive to determining that: at least a threshold percentage of the user submissions of the particular command triggered the particular automated assistant function, and a quantity of the user submission of the particular command satisfies a threshold quantity.

Abstract: A method for deliver relevant responses to ambiguous queries includes receiving, from a user device associated with a user, a query requesting either information from a digital assistant service or performance of an action by the digital assistant service. When a user intent of the query is unresolved, the method also includes retrieving, from a search engine, currently trending search results for the query and resolving the user intent of the query based on the search results. The method also includes generating a response to the query based the resolved user intent. The response includes information obtained from a particular intent vertical associated with the resolved user intent or fulfillment of the action by the digital assistant service.

Abstract: Systems and methods for enabling voice-based interactions with electronic devices can include a data processing system maintaining a plurality of device action data sets and a respective identifier for each device action data set. The data processing system can receive, from an electronic device, an audio signal representing a voice query and an identifier. The data processing system can identify, using the identifier, a device action data set. The data processing system can identify a device action from device action data set based on content of the audio signal. The data processing system can then identify, from the device action dataset, a command associated with the device action and send the command to the for execution device for execution.

Abstract: Implementations include identifying, from a database of entries reflecting past automated assistant commands submitted within a threshold amount of time relative to a current time, particular entries that each reflect corresponding features of a corresponding user submission of a particular command. Further, those implementations include determining that the particular command is a golden command, for a particular automated assistant function, responsive to determining that: at least a threshold percentage of the user submissions of the particular command triggered the particular automated assistant function, and a quantity of the user submission of the particular command satisfies a threshold quantity.

Abstract: Systems and methods for enabling voice-based interactions with electronic devices can include a data processing system maintaining a plurality of device action data sets and a respective identifier for each device action data set. The data processing system can receive, from an electronic device, an audio signal representing a voice query and an identifier. The data processing system can identify, using the identifier, a device action data set. The data processing system can identify a device action from device action data set based on content of the audio signal. The data processing system can then identify, from the device action dataset, a command associated with the device action and send the command to the for execution device for execution.

Abstract: Systems and methods for enabling voice-based interactions with electronic devices can include a data processing system maintaining a plurality of device action data sets and a respective identifier for each device action data set. The data processing system can receive, from an electronic device, an audio signal representing a voice query and an identifier. The data processing system can identify, using the identifier, a device action data set. The data processing system can identify a device action from device action data set based on content of the audio signal. The data processing system can then identify, from the device action dataset, a command associated with the device action and send the command to the for execution device for execution.

Abstract: Systems and methods for enabling voice-based interactions with electronic devices can include a data processing system maintaining a plurality of device action data sets and a respective identifier for each device action data set. The data processing system can receive, from an electronic device, an audio signal representing a voice query and an identifier. The data processing system can identify, using the identifier, a device action data set. The data processing system can identify a device action from device action data set based on content of the audio signal. The data processing system can then identify, from the device action dataset, a command associated with the device action and send the command to the for execution device for execution.

Abstract: Systems and methods for enabling voice-based interactions with electronic devices can include a data processing system maintaining a plurality of device action data sets and a respective identifier for each device action data set. The data processing system can receive, from an electronic device, an audio signal representing a voice query and an identifier. The data processing system can identify, using the identifier, a device action data set. The data processing system can identify a device action from device action data set based on content of the audio signal. The data processing system can then identify, from the device action dataset, a command associated with the device action and send the command to the for execution device for execution.

Abstract: In various implementations, upon receiving a given voice command from a user, a voice-based trigger may be selected from a library of voice-based triggers previously used across a population of users. The library may include association(s) between each voice-based trigger and responsive action(s) previously performed in response to the voice-based trigger. The selecting may be based on a measure of similarity between the given voice command and the selected voice-based trigger. One or more responsive actions associated with the selected voice-based trigger in the library may be determined. Based on the one or more responsive actions, current responsive action(s) may be performed by a target client device selected based on sensor-dependent context. Feedback associated with performance of the current responsive action(s) may be received from the user and used to alter a strength of an association between the selected voice-based trigger and the one or more responsive actions.

Abstract: Systems and methods for enabling voice-based interactions with electronic devices can include a data processing system maintaining a plurality of device action data sets and a respective identifier for each device action data set. The data processing system can receive, from an electronic device, an audio signal representing a voice query and an identifier. The data processing system can identify, using the identifier, a device action data set. The data processing system can identify a device action from device action data set based on content of the audio signal. The data processing system can then identify, from the device action dataset, a command associated with the device action and send the command to the for execution device for execution.

Abstract: Systems and methods for enabling voice-based interactions with electronic devices can include a data processing system maintaining a plurality of device action data sets and a respective identifier for each device action data set. The data processing system can receive, from an electronic device, an audio signal representing a voice query and an identifier. The data processing system can identify, using the identifier, a device action data set. The data processing system can identify a device action from device action data set based on content of the audio signal. The data processing system can then identify, from the device action dataset, a command associated with the device action and send the command to the for execution device for execution.

Abstract: Techniques are described herein for leveraging information about a user to enable a personal assistant module to make various inferences about what actions that may be responsive to a user declaration. In various implementations, upon identifying a user declaration received at a computing device, a plurality of candidate responsive actions that can be initiated by the computing device in response to the user declaration may be identified. A single candidate responsive action may then be non-deterministically (e.g., randomly, stochastically) selected to be exclusively initiated on the computing device in response to the user declaration.

Abstract: In various implementations, upon receiving a given voice command from a user, a voice-based trigger may be selected from a library of voice-based triggers previously used across a population of users. The library may include association(s) between each voice-based trigger and responsive action(s) previously performed in response to the voice-based trigger. The selecting may be based on a measure of similarity between the given voice command and the selected voice-based trigger. One or more responsive actions associated with the selected voice-based trigger in the library may be determined. Based on the one or more responsive actions, current responsive action(s) may be performed by the client device.

Abstract: Techniques are described herein for leveraging information about a user to enable a personal assistant module to make various inferences about what actions that may be responsive to a user declaration. In various implementations, upon identifying a user declaration received at a computing device, a plurality of candidate responsive actions that can be initiated by the computing device in response to the user declaration may be identified. A single candidate responsive action may then be non-deterministically (e.g., randomly, stochastically) selected to be exclusively initiated on the computing device in response to the user declaration.

Abstract: In various implementations, upon receiving a given voice command from a user, a voice-based trigger may be selected from a library of voice-based triggers previously used across a population of users. The library may include association(s) between each voice-based trigger and responsive action(s) previously performed in response to the voice-based trigger. The selecting may be based on a measure of similarity between the given voice command and the selected voice-based trigger. One or more responsive actions associated with the selected voice-based trigger in the library may be determined. Based on the one or more responsive actions, current responsive action(s) may be performed by the client device. Feedback associated with performance of the current responsive action(s) may be received from the user and used to alter a strength of an association between the selected voice-based trigger and the one or more responsive actions.

Abstract: In various implementations, upon receiving a given voice command from a user, a voice-based trigger may be selected from a library of voice-based triggers previously used across a population of users. The library may include association(s) between each voice-based trigger and responsive action(s) previously performed in response to the voice-based trigger. The selecting may be based on a measure of similarity between the given voice command and the selected voice-based trigger. One or more responsive actions associated with the selected voice-based trigger in the library may be determined. Based on the one or more responsive actions, current responsive action(s) may be performed by the client device. Feedback associated with performance of the current responsive action(s) may be received from the user and used to alter a strength of an association between the selected voice-based trigger and the one or more responsive actions.

Abstract: Techniques are described herein for leveraging information about a user to enable a personal assistant module to make various inferences about what actions that may be responsive to a user declaration. In various implementations, upon identifying a user declaration received at a computing device, a plurality of candidate responsive actions that can be initiated by the computing device in response to the user declaration may be identified. A single candidate responsive action may then be non-deterministically (e.g., randomly, stochastically) selected to be exclusively initiated on the computing device in response to the user declaration.