Google Inc.

Lisa Takehana

Ruxandra Georgiana Davies

Justin Lewis

Raunaq Shah

Jaclyn Konzelmann

Adrian Diaconu

Gaurav Bhaya

Anshul Kothari

Tarun Kumar Jain

Implementations set forth herein relate to employing dynamic regulations for governing responsiveness of multiple automated assistant devices, and specifically the responsiveness an automated assistant to a given spoken utterance that has been acknowledged by two or more of the assistant devices. The dynamic regulations can be context-dependent and adapted over time in order that the automated assistant can accommodate assistant interaction preferences that may vary from user to user. For instance, a spoken utterance such as 'stop,' may be intended to affect different assistant actions based on a context in which the user provided the spoken utterance. The context can refer to a location of the user relative to other rooms in a home, a time of day, a user providing the spoken utterance, an arrangement of the assistant devices within a home, and/or a state of each device in the home.

Regulating assistant responsiveness according to characteristics of a multi-assistant environment

Processing stacked data structures is provided. A system receives an input audio signal detected by a sensor of a local computing device, identifies an acoustic signature, and identifies an account corresponding to the signature. The system establishes a session and a profile stack data structure including a first profile layer having policies configured by a third-party device. The system pushes, to the profile stack data structure, a second profile layer retrieved from the account. The system parses the input audio signal to identify a request and a trigger keyword. The system generates, based on the trigger keyword and the second profile layer, a first action data structure compatible with the first profile layer. The system provides the first action data structure for execution. The system disassembles the profile stack data structure to remove the first profile layer or the second profile layer from the profile stack data structure.

Digital assistant processing of stacked data structures

Implementations provided herein relate to correlating available input gestures to recently created application functions, and adapting available input gestures, and/or user-created input gestures, to be correlated with existing application functions. Available input gestures (e.g., a hand wave) can be those that can be readily performed upon setup of a computing device. When a user installs an application that is not initially configured to handle the available input gestures, the available input gestures can be correlated to certain functions of the application. Furthermore, a user can create new gestures for application actions and/or modify existing gestures according to their own preferences and/or physical capabilities. When multiple users elect to modify an existing gesture in the same way, the modification can be made universal, with permission from the users, in order to eliminate latency when subsequently adapting to preferences of other users.

Expanding physical motion gesture lexicon for an automated assistant

Methods, systems, and apparatus for determining candidate user profiles as being associated with a shared device, and identifying, from the candidate user profiles, candidate pronunciation attributes associated with at least one of the candidate user profiles determined to be associated with the shared device. The methods, systems, and apparatus are also for receiving, at the shared device, a spoken utterance; determining a received pronunciation attribute based on received audio data corresponding to the spoken utterance; comparing the received pronunciation attribute to at least one of the candidate pronunciation attributes; and selecting a particular pronunciation attribute from the candidate pronunciation attributes based on a result of the comparison of the received pronunciation attribute to at least one of the candidate pronunciation attributes. With the methods, systems, and apparatus, the particular pronunciation attribute, selected from the candidate pronunciation attributes, is provided for outputting audio associated with the spoken utterance.

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San Bruno, CA, United States of America

Lisa Takehana