Apple Inc.

Interval Research Corporation

Sceneplay, Inc.

Unwired Planet, LLC

Vulcan Patents LLC

Interval Licensing LLC

Philippe P Piernot

Justin G Binder

Paul A Freiberger

Neal A Bhadkamkar

Golan Levin

Marcos R Vescovi

Marc Eliot Davis

David P Reed

Didier Rene Guzzoni

Ann Greenberg

Sally N Rosenthal

Giles N Goodhead

Subutai Ahmad

Devang Kalidas Naik

Garrett L Weinberg

Brygg A Ullmer

Emanuel E Farber

Steve B Cousins

Pierre P Greborio

Justin Willow

Todd A Agulnick

Christopher D Horner

Rafael Granados

Jonathan R Cohen

Michele Mae Covell

Malcolm G Slaney

Steven E Saunders

Steven J Drach

Kevin D Pitolin

Chris Schmidt

Todd A Aqulnick

Neil A Bhadkamkar

Robin Petravoc

Adam Jordan

Systems and processes for operating an intelligent automated assistant are provided. In one example process, a first input including activation of an affordance is received. A domain associated with the affordance is determined. A second input including user speech is received, where a user intent is determined based on the domain and the user speech. A determination is made whether the user intent includes a command associated with the affordance. In accordance with a determination that the user intent includes a command associated with the affordance, a task in furtherance of the command is performed.

Multi-modal inputs for voice commands

Systems and processes for operating an intelligent automated assistant are provided. An example process for determining user intent includes receiving a natural language input and detecting an event. The process further includes, determining, at a first time, based on the natural language input, a first value for a first node of a parsing structure; and determining, at a second time, based on the detected data event, a second value for a second node of the parsing structure. The process further includes in accordance with a determination that the first time and the second time are within the predetermined time: determining, using the parsing structure, the first value, and the second value, a user intent associated with the natural language input; initiating a task based on the determined intent; and providing an output indicative of the task.

Multimodality in digital assistant systems

Systems and processes for selectively processing and responding to a spoken user input are provided. In one example, audio input containing a spoken user input can be received at a user device. The spoken user input can be identified from the audio input by identifying start and end-points of the spoken user input. It can be determined whether or not the spoken user input was intended for a virtual assistant based on contextual information. The determination can be made using a rule-based system or a probabilistic system. If it is determined that the spoken user input was intended for the virtual assistant, the spoken user input can be processed and an appropriate response can be generated. If it is instead determined that the spoken user input was not intended for the virtual assistant, the spoken user input can be ignored and/or no response can be generated.

Reducing the need for manual start/end-pointing and trigger phrases

A media generation system and method are provided. The system has a media generation computer that has a store that contains a marked-up script with a scene having a plurality of shots that each has a plurality of splitscenes and a computing device that uses a streaming protocol and receives a rendered sceneplay from the media generation computer. The media generation computer automatically directs actors with stage and blocking directions to generate recorded splitscenes and automatically edits and combines the recorded splitscenes.

Media generating system and method

Systems and processes for device voice control are provided. An example process includes, at an electronic device, receiving a spoken user input and interpreting the spoken user input to derive a representation of user intent. The process further includes determining whether a task may be identified based on the representation of user intent. In accordance with a determination that a task may be identified based on the representation of user intent, the task is performed, and in accordance with a determination that a task may not be identified based on the representation of user intent, the spoken user input is disambiguated.

Device voice control

A media presentation generation system and method automatically directs actor(s) in splitscenes to generate recorded splitscenes and automatically edits and combines the recorded splitscenes into a combined media presentation.

Media presentation generating system and method using recorded splitscenes

Systems and processes for rule-based natural language processing are provided. In accordance with one example, a method includes, at an electronic device with one or more processors, receiving a natural-language input; determining, based on the natural-language input, an input expression pattern; determining whether the input expression pattern matches a respective expression pattern of each of a plurality of intent definitions; and in accordance with a determination that the input expression pattern matches an expression pattern of an intent definition of the plurality of intent definitions: selecting an intent definition of the plurality of intent definitions having an expression pattern matching the input expression pattern; performing a task associated with the selected intent definition; and outputting an output indicating whether the task was performed.

Rule-based natural language processing

Systems and processes for providing multi-turn canned dialog are provided. An example method includes, at an electronic device, receiving a natural-language input; determining whether the natural-language input satisfies dialog criteria for multi-turn canned dialog; in accordance with a determination that the natural-language input satisfies the dialog criteria for multi-turn canned dialog: identifying a natural-language output of the multi-turn canned dialog corresponding to the natural-language input; and outputting the natural-language output; and in accordance with a determination that the natural-language input does not satisfy the dialog criteria for multi-turn canned dialog: identifying a task associated with the natural-language input; and performing the task associated with the natural-language input.

Multi-turn canned dialog

Growing community of inventors

Palo Alto, CA, United States of America

Philippe P Piernot