A method for operating a voice trigger is provided. In some implementations, the method is performed at an electronic device including one or more processors and memory storing instructions for execution by the one or more processors. The method includes receiving a sound input. The sound input may correspond to a spoken word or phrase, or a portion thereof. The method includes determining whether at least a portion of the sound input corresponds to a predetermined type of sound, such as a human voice. The method includes, upon a determination that at least a portion of the sound input corresponds to the predetermined type, determining whether the sound input includes predetermined content, such as a predetermined trigger word or phrase. The method also includes, upon a determination that the sound input includes the predetermined content, initiating a speech-based service, such as a voice-based digital assistant.

Voice trigger for a digital assistant

Systems and processes are disclosed for controlling television user interactions using a virtual assistant. A virtual assistant can interact with a television set-top box to control content shown on a television. Speech input for the virtual assistant can be received from a device with a microphone. User intent can be determined from the speech input, and the virtual assistant can execute tasks according to the user's intent, including causing playback of media on the television. Virtual assistant interactions can be shown on the television in interfaces that expand or contract to occupy a minimal amount of space while conveying desired information. Multiple devices associated with multiple displays can be used to determine user intent from speech input as well as to convey information to users. In some examples, virtual assistant query suggestions can be provided to the user based on media content shown on a display.

Intelligent automated assistant for tv user interactions

Systems and processes are disclosed for handling a multi-part voice command for a virtual assistant. Speech input can be received from a user that includes multiple actionable commands within a single utterance. A text string can be generated from the speech input using a speech transcription process. The text string can be parsed into multiple candidate substrings based on domain keywords, imperative verbs, predetermined substring lengths, or the like. For each candidate substring, a probability can be determined indicating whether the candidate substring corresponds to an actionable command. Such probabilities can be determined based on semantic coherence, similarity to user request templates, querying services to determine manageability, or the like. If the probabilities exceed a threshold, the user intent of each substring can be determined, processes associated with the user intents can be executed, and an acknowledgment can be provided to the user.

Multi-command single utterance input method

A mobile electronic device has a touch sensitive screen and an accelerometer. A translator is to translate a word or phrase that is in a first human language and that is entered via a first virtual keyboard displayed on the touch sensitive screen, into a second human language. A translator is to cause the touch sensitive screen to display the translated word or phrase and a second virtual keyboard having characters in the second human language, in response to the accelerometer detecting a change in the physical orientation of the device or movement of the device. Other embodiments are also described and claimed.

Mobile device having human language translation capability with positional feedback

This is directed to processing voice inputs received by an electronic device. In particular, this is directed to receiving a voice input and identifying the user providing the voice input. The voice input can be processed using a subset of words from a library used to identify the words or phrases of the voice input. The particular subset can be selected such that voice inputs provided by the user are more likely to include words from the subset. The subset of the library can be selected using any suitable approach, including for example based on the user's interests and words that relate to those interests. For example, the subset can include one or more words related to media items selected by the user for storage on the electronic device, names of the user's contacts, applications or processes used by the user, or any other words relating to the user's interactions with the device.

User profiling for voice input processing

This relates to systems and processes for using a virtual assistant to arbitrate among and/or control electronic devices. In one example process, a first electronic device samples an audio input using a microphone. The first electronic device broadcasts a first set of one or more values based on the sampled audio input. Furthermore, the first electronic device receives a second set of one or more values, which are based on the audio input, from a second electronic device. Based on the first set of one or more values and the second set of one or more values, the first electronic device determines whether to respond to the audio input or forego responding to the audio input.

Intelligent device arbitration and control

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.

Virtual assistant for media playback

Systems and processes for operating an intelligent automated assistant to explore media items are provided. In one example process, a speech input representing a request for one or more media items is received from a user. The process determines whether the speech input corresponds to a user intent of obtaining personalized recommendations for media items. In response to determining that the speech input corresponds to a user intent of obtaining personalized recommendations for media items, at least one media item is obtained from a user-specific corpus of media items. The user-specific corpus of media items is generate based on data associated with the user. The at least one media item is provided.

Intelligent automated assistant for media exploration

본 출원은 가상 어시스턴트를 사용하여 전자 디바이스들 사이에서 중재하고/하거나 이들을 제어하기 위한 시스템들 및 프로세스들에 관한 것이다. 하나의 예시적인 프로세스에서, 제1 전자 디바이스는 마이크로폰을 사용하여 오디오 입력을 샘플링한다. 제1 전자 디바이스는 샘플링된 오디오 입력에 기초하여 하나 이상의 값들의 제1 세트를 브로드캐스팅한다. 또한, 제1 전자 디바이스는 제2 전자 디바이스로부터, 오디오 입력에 기초하는 하나 이상의 값들의 제2 세트를 수신한다. 하나 이상의 값들의 제1 세트 및 하나 이상의 값들의 제2 세트에 기초하여, 제1 전자 디바이스는 오디오 입력에 응답할지 또는 그에 응답하는 것을 보류할지 여부를 결정한다.

지능형 디바이스 중재 및 제어

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Intelligent device arbitration and control

Virtual assistant for media playback

Intelligent automated assistant for media exploration

지능형 디바이스 중재 및 제어