Disclosed are systems, methods, and non-transitory computer readable media for making virtual colored markings on objects. Instructions may include receiving an indication of an object; receiving from an image sensor an image of a hand of an individual holding a physical marking implement; detecting in the image a color associated with the marking implement; receiving from the image sensor image data indicative of movement of a tip of the marking implement and locations of the tip; determining from the image data when the locations of the tip correspond to locations on the object; and generating, in the detected color, virtual markings on the object at the corresponding locations.

An information processing apparatus that detects a voice command via a microphone in order to activate the device and execute certain applications. The apparatus comprises a digital signal processor (DSP) and a host controller which are responsible for processing the voice commands. The DSP recognizes and processes voice commands intermittently while the host processor is in a sleep state, thereby reducing the overall power consumption of the apparatus. Further, when the DSP is configured to recognize voice commands intended, only to activate the device, a memory having a sufficiently lower storage capacity suffices.

Provided herein are method, apparatus, and computer program products for generating a first and second three dimensional interactive environment. The first three dimensional interactive environment may contain one or more engageable virtual interfaces that correspond to one or more items. Upon engagement with a virtual interface the second three dimensional interactive environment is produced to virtual simulation related to the one or more items.

Systems and methods for enabling quick access to media options are provided. A display of a plurality of icons is generated, wherein each of the plurality of icons represents a different one of a plurality of applications. A user input is detected that identifies a first of the plurality of icons associated with a first of the plurality of applications. In response to determining that the user input corresponds to a quick access operation, first and second media asset identifiers and corresponding media options are retrieved from each of second and third applications. A menu that includes the retrieved first and second media asset identifiers is generated for display with the plurality of icons.

Disclosed is an electronic apparatus. The electronic apparatus includes a first communicator, a second communicator; and a processor configured to determine whether or not an external electronic apparatus outputting input speech is connectable to a network connectable through the first communicator, based on the input speech, and to transmit a signal for controlling the external electronic apparatus to the external electronic apparatus through the first communicator or the second communicator depending on whether or not the external electronic apparatus is connectable to the network.

According to one embodiment, a method, computer system, and computer program product for modulating external sounds to reflect the acoustic effects of virtual objects in a mixed-reality environment is provided. The present invention may include creating a knowledge corpus, recording a sound effect occurring externally to a mixed-reality environment experienced by a user operating the mixed-reality device; identifying one or more objects within the mixed-reality environment, including at least one virtual object; modulating the sound effect based on the knowledge corpus to simulate one or more acoustic effects of the one or more objects within the MR environment; and playing the modulated sound effect to the user.

In one embodiment, a domain-name based framework implemented in a digital assistant ecosystem uses domain names as unique identifiers for request types, requesting entities, responders, and target entities embedded in a natural language request. Further, the framework enables interpreting natural language requests according to domain ontologies associated with different responders. A domain ontology operates as a keyword dictionary for a given responder and defines the keywords and corresponding allowable values to be used for request types and request parameters. The domain-name based framework thus enables the digital assistant to interact with any responder that supports a domain ontology to generate precise and complete responses to natural language based requests.

A method, an electronic device and computer readable medium for dialogue breakdown detection are provided. The method includes obtaining a verbal input from an audio sensor. The method also includes generating a reply to the verbal input. The method additionally includes identifying a local context from the verbal input and a global context from the verbal input, additional verbal inputs previously received by the audio sensor, and previous replies generated in response to the additional verbal inputs. The method further includes identifying a dialogue breakdown in response to determining that the reply does not correspond to the local context and the global context. In addition, the method includes generating sound corresponding to the reply through a speaker when the dialogue breakdown is not identified.

A device implementing a system for providing content in response to a request includes a processor configured to receive a voice request for content associated with a home environment, the voice request corresponding to a user account, and determine, based on the voice request, not to provide the content via the device. The processor is further configured to select, in response to the determining, a second device from among multiple devices associated with the home environment, wherein the selecting is based at least in part on configuration settings associated with the home environment, and provide for the second device to output the content based on a profile of the user account.

Implementations can reduce the time required to obtain responses from an automated assistant by, for example, obviating the need to provide an explicit invocation to the automated assistant, such as by saying a hot-word/phrase or performing a specific user input, prior to speaking a command or query. In addition, the automated assistant can optionally receive, understand, and/or respond to the command or query without communicating with a server, thereby further reducing the time in which a response can be provided. Implementations only selectively initiate on-device speech recognition responsive to determining one or more condition(s) are satisfied. Further, in some implementations, on-device NLU, on-device fulfillment, and/or resulting execution occur only responsive to determining, based on recognized text form the on-device speech recognition, that such further processing should occur. Thus, through selective activation of on-device speech processing, and/or selective activation of on-device NLU and/or on-device fulfillment, various client device resources are conserved.