Virtual assistant for media playback

a virtual assistant and media technology, applied in the field of virtual assistants, can solve the problems of cumbersome and inefficient techniques for discovering media based on a non-specific, unstructured natural language request, and the inability to perform both steps, and achieve the effect of improving efficiency, improving efficiency, and improving efficiency

Inactive Publication Date: 2016-12-29
APPLE INC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Benefits of technology

[0014]Thus, devices are provided with faster, more efficient methods and interfaces for discovering media based on a nonspecific, unstructured natural language request, thereby increasing the effectivene...

Problems solved by technology

Some techniques for discovering media based on a nonspecific, unstructured natural language request, however, are generally cumbersome and inefficient.
For example, existing techniques use a complex and time-consuming user interface, which may include multiple key ...

Method used

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  • Virtual assistant for media playback
  • Virtual assistant for media playback
  • Virtual assistant for media playback

Examples

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Embodiment Construction

[0031]The following description sets forth exemplary methods, parameters, and the like. It should be recognized, however, that such description is not intended as a limitation on the scope of the present disclosure but is instead provided as a description of exemplary embodiments.

[0032]There is a need for electronic devices that provide efficient methods and interfaces for discovering media based on a nonspecific, unstructured natural language request. As described above, media discovery techniques are not as effective as they might be, such as with users with slow or unusual speech patterns. A digital assistant can reduce the cognitive burden on a user who discovers media based on a nonspecific, unstructured natural language request, thereby enhancing productivity. Further, such techniques can reduce processor and battery power otherwise wasted on redundant user inputs.

[0033]Below, FIGS. 1, 2A-2B, 3, 4, 5A-5B and 6A-6B provide a description of exemplary devices for performing the t...

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PUM

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Abstract

An exemplary method for identifying media may include receiving user input associated with a request for media, where that user input includes unstructured natural language speech including one or more words; identifying at least one context associated with the user input; causing a search for the media based on the at least one context and the user input; determining, based on the at least one context and the user input, at least one media item that satisfies the request; and in accordance with a determination that the at least one media item satisfies the request, obtaining the at least one media item.

Description

CROSS-REFERENCE TO RELATED APPLICATIONS[0001]This application claims priority to U.S. Provisional Patent Application No. 62 / 186,182, entitled “Virtual Assistant for Media Playback,” filed Jun. 29, 2015, the content of which is hereby incorporated by reference in its entirety for all purposes.FIELD[0002]The present disclosure relates generally to media playback, and more specifically to a virtual assistant used to facilitate media playback.BACKGROUND[0003]Intelligent automated assistants (or digital assistants) provide a beneficial interface between human users and electronic devices. Such assistants allow users to interact with devices or systems using natural language in spoken and / or text forms. For example, a user can access the services of an electronic device by providing a spoken user request to a digital assistant associated with the electronic device. The digital assistant can interpret the user's intent from the spoken user request and operationalize the user's intent into ...

Claims

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Application Information

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IPC IPC(8): G06F17/28G06F3/16G06F17/30
CPCG06F17/28G06F3/167G06F17/30864G06F17/30684G06F16/48G10L15/26G06F40/169G06F40/279G06F40/30
Inventor ORR, RYAN M.MANDEL, DANIEL J.SINESIO, ANDREW J.BARNETT, CONNOR J.
Owner APPLE INC
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