Abstract: A system and method for temporarily disabling keyword detection to avoid detection of machine-generated keywords. A local device may operate two keyword detectors. The first keyword detector operates on input audio data received by a microphone to capture keywords uttered by a user. In these instances, the keyword may be detected by the first detector and the audio data may be indicated for speech processing. The system may determine output audio data responsive to the input audio data. The local device may process the output audio data to determine that it also includes the keyword. The device may then disable the first keyword detector while the output audio data is played back by an audio speaker of the local device. Thus the local device may avoid detection of a keyword originating from the output audio. The first keyword detector may be reactivated after a time interval during which the keyword might be detectable in the output audio.

Abstract: A system and method for temporarily disabling keyword detection to avoid detection of machine-generated keywords. A local device may operate two keyword detectors. The first keyword detector operates on input audio data received by a microphone to capture keywords uttered by a user. In these instances, the keyword may be detected by the first detector and the audio data may be indicated for speech processing. The system may determine output audio data responsive to the input audio data. The local device may process the output audio data to determine that it also includes the keyword. The device may then disable the first keyword detector while the output audio data is played back by an audio speaker of the local device. Thus the local device may avoid detection of a keyword originating from the output audio. The first keyword detector may be reactivated after a time interval during which the keyword might be detectable in the output audio.

Abstract: A system and method for temporarily disabling keyword detection to avoid detection of machine-generated keywords. A local device may operate two keyword detectors. The first keyword detector operates on input audio data received by a microphone to capture keywords uttered by a user. In these instances, the keyword may be detected by the first detector and the audio data may be indicated for speech processing. The system may determine output audio data responsive to the input audio data. The local device may process the output audio data to determine that it also includes the keyword. The device may then disable the first keyword detector while the output audio data is played back by an audio speaker of the local device. Thus the local device may avoid detection of a keyword originating from the output audio. The first keyword detector may be reactivated after a time interval during which the keyword might be detectable in the output audio.

Abstract: A system and method for temporarily disabling keyword detection to avoid detection of machine-generated keywords. A local device may operate two keyword detectors. The first keyword detector operates on input audio data received by a microphone to capture keywords uttered by a user. In these instances, the keyword may be detected by the first detector and the audio data may be transmitted to a remote device for processing. The remote device may generate output audio data to be sent to the local device. The local device may process the output audio data to determine that it also includes the keyword. The device may then disable the first keyword detector while the output audio data is played back by an audio speaker of the local device. Thus the local device may avoid detection of a keyword originating from the output audio. The first keyword detector may be reactivated after a time interval during which the keyword might be detectable in the output audio.

Abstract: A system and method for temporarily disabling keyword detection to avoid detection of machine-generated keywords. A local device may operate two keyword detectors. The first keyword detector operates on input audio data received by a microphone to capture keywords uttered by a user. In these instances, the keyword may be detected by the first detector and the audio data may be transmitted to a remote device for processing. The remote device may generate output audio data to be sent to the local device. The local device may process the output audio data to determine that it also includes the keyword. The device may then disable the first keyword detector while the output audio data is played back by an audio speaker of the local device. Thus the local device may avoid detection of a keyword originating from the output audio. The first keyword detector may be reactivated after a time interval during which the keyword might be detectable in the output audio.

Abstract: A system and method for temporarily disabling keyword detection to avoid detection of machine-generated keywords. A local device may operate two keyword detectors. The first keyword detector operates on input audio data received by a microphone to capture keywords uttered by a user. In these instances, the keyword may be detected by the first detector and the audio data may be transmitted to a remote device for processing. The remote device may generate output audio data to be sent to the local device. The local device may process the output audio data to determine that it also includes the keyword. The device may then disable the first keyword detector while the output audio data is played back by an audio speaker of the local device. Thus the local device may avoid detection of a keyword originating from the output audio. The first keyword detector may be reactivated after a time interval during which the keyword might be detectable in the output audio.

Abstract: A system and method for temporarily disabling keyword detection to avoid detection of machine-generated keywords. Audio data received for output by audio speakers is first captured by an effect component, such as an audio equalizer. The effect component may perform various operations including altering the audio data, copying the audio data and delaying the time in which the output audio is sent to the audio speakers. The effect component may generate a copy of the audio data and transmit or route the copy of the audio data to a secondary keyword detector via an audio channel, resulting in a further delay. The secondary detector may determine that the copy of the processed audio data includes a keyword that is likely to be output during a first time interval. The secondary detector may then transmit a signal to a primary keyword detector to disable keyword detection during the first time interval of the output audio.

Abstract: A system and method for temporarily disabling keyword detection to avoid detection of machine-generated keywords. A local device may operate two keyword detectors. The first keyword detector operates on input audio data received by a microphone to capture keywords uttered by a user. In these instances, the keyword may be detected by the first detector and the audio data may be transmitted to a remote device for processing. The remote device may generate output audio data to be sent to the local device. The local device may process the output audio data to determine that it also includes the keyword. The device may then disable the first keyword detector while the output audio data is played back by an audio speaker of the local device. Thus the local device may avoid detection of a keyword originating from the output audio. The first keyword detector may be reactivated after a time interval during which the keyword might be detectable in the output audio.

Abstract: A computing device can present a plurality of displayable elements, some of which appear to be on top of or overlaying others. The computing device can determine which displayable elements should cast virtual shadows on which other displayable elements based, at least in part, on a respective virtual depth value associated with each of the displayable elements. In general, a displayable element with a higher depth value can cast a shadow on a displayable element with a lower depth value. The device can select a first displayable element for which a virtual shadow is to be generated. The device can acquire a graphical representation of the first displayable element. The computing device can then apply a blurring technique, a color filtering process, and a transparency filtering process to the graphical representation to generate a virtual shadow for the first displayable element. Then the device can draw or display the shadow.

Abstract: A computing device can present a plurality of displayable elements, some of which appear to be on top of or overlaying others. The computing device can determine which displayable elements should cast virtual shadows on which other displayable elements based, at least in part, on a respective virtual depth value associated with each of the displayable elements. In general, a displayable element with a higher depth value can cast a shadow on a displayable element with a lower depth value. The device can select a first displayable element for which a virtual shadow is to be generated. The device can acquire a graphical representation of the first displayable element. The computing device can then apply a blurring technique, a color filtering process, and a transparency filtering process to the graphical representation to generate a virtual shadow for the first displayable element. Then the device can draw or display the shadow.

Abstract: Approaches enable display of image content (e.g., still or video content), providing an appearance or view based at least in part upon a current relative position and/or orientation of the viewer with respect to the device, and changes in that relative position and/or orientation. Image content is rendered consistent with a viewing angle for the current relative position of the viewer. As that viewing angle changes, the content can be re-rendered or otherwise updated to display the image content from a perspective that reflects the change in viewing angle. Different adjustments can be applied to portions of the content based upon the change in viewing angle. These adjustments can include changes due to parallax or occlusion, which when added to the rendered content enhance the viewer experience and increase realism for content rendered on a two- or three-dimensional display screen.

Abstract: A computing device can present a plurality of displayable elements, some of which appear to be on top of or overlaying others. The computing device can determine which displayable elements should cast virtual shadows on which other displayable elements based, at least in part, on a respective virtual depth value associated with each of the displayable elements. In general, a displayable element with a higher depth value can cast a shadow on a displayable element with a lower depth value. The device can select a first displayable element for which a virtual shadow is to be generated. The device can acquire a graphical representation of the first displayable element. The computing device can then apply a blurring technique, a color filtering process, and a transparency filtering process to the graphical representation to generate a virtual shadow for the first displayable element. Then the device can draw or display the shadow.

Abstract: Approaches enable image content (e.g., still or video content) to be displayed in such a way that the image content will appear, to a viewer, to include portions with different locations in physical space, with the relative positioning of those portions being determined at least in part upon a current relative position and/or orientation of the viewer with respect to the device, as well as changes in that relative position and/or orientation. For example, relationship pairs for image content capable of being displayed on a display screen can be determined. Based on the relationship pairs, a node hierarchy that includes position information for planes of content that include the image content can be determined.

Abstract: Systems and approaches provide for a user interface (UI) that is based on the position of a user's head with respect to a computing device. In particular, a three-dimensional (3D) rendering engine that is independent of a particular operating system can be integrated with the UI framework of the operating system such that a window or view into a fully 3D world can be drawn using the independent renderer. This window or view can then be laid out and manipulated in a manner similar to other elements of the UI framework. Further, the 3D window or view can be configured to monitor head tracking data as input events to the UI framework. The contents of the window or view can be redrawn or rendered based on the head tracking data to simulate three-dimensionality of the content.

Abstract: Approaches enable image content (e.g., still or video content) to be displayed in such a way that the image content will appear, to a viewer, to include portions with different locations in physical space, with the relative positioning of those portions being determined at least in part upon a current relative position and/or orientation of the viewer with respect to the device, as well as changes in that relative position and/or orientation. For example, image content can be grouped or otherwise contained or assigned to different planes, levels, or other such groupings of content. The planes of content can enable image content included within those planes to be displayed to provide a viewer with an appearance or view of the content that appears to be positioned and/or displayed in 3D space. As that viewing angle changes, the content can be re-rendered or otherwise updated to display the image content from a perspective that reflects the change in viewing angle.

Abstract: Approaches enable image content (e.g., still or video content) to be displayed in such a way that the image content will appear, to a viewer, to include portions with different locations in physical space, with the relative positioning of those portions being determined at least in part upon a current relative position and/or orientation of the viewer with respect to the device, as well as changes in that relative position and/or orientation. For example, image content can be grouped or otherwise contained or assigned to different planes, levels, or other such groupings of content. The planes of content can enable image content included within those planes to be displayed to provide a viewer with an appearance or view of the content that appears to be positioned and/or displayed in 3D space. As that viewing angle changes, the content can be re-rendered or otherwise updated to display the image content from a perspective that reflects the change in viewing angle.

Abstract: Approaches enable image content (e.g., still or video content) to be displayed to provide a viewer with an appearance or view of the content that is based at least in part upon a current relative position and/or orientation of the viewer with respect to the device, as well as changes in that relative position and/or orientation. For example, positional data can be used to render image content from a perspective that is consistent with a viewing angle for the current relative position of the viewer. As that viewing angle changes, the content can be re-rendered or otherwise updated to display the image content from a perspective that reflects the change in viewing angle. The content can include various portions, and different adjustments can be applied to each portion based upon these and/or other such changes.