31
Stephen O Lemay, Brandon J Newendorp, Jonathan R Dascola: Virtual assistant activation. Apple, Dentons US, February 6, 2018: US09886953

At an electronic device with a display, a microphone, and an input device: while the display is on, receiving user input via the input device, the user input meeting a predetermined condition; in accordance with receiving the user input meeting the predetermined condition, sampling audio input recei ...


32
Devang K Naik, Ali S Mohamed, Hong M Chen: Caching apparatus for serving phonetic pronunciations. Apple, Morrison & Foerster, May 9, 2017: US09646609

Systems and processes for generating a shared pronunciation lexicon and using the shared pronunciation lexicon to interpret spoken user inputs received by a virtual assistant are provided. In one example, the process can include receiving pronunciations for words or named entities from multiple user ...


33
Devang K Naik, Philippe P Piernot: Social reminders. Apple, Morrison & Foerster, May 30, 2017: US09668121

Techniques for providing reminders based on social interactions between users of electronic devices are described. Social reminders can be set to trigger based on social interactions of users. For example, a user may request to be reminded to discuss a certain discussion topic with a particular phon ...


34
Brandon J Newendorp, Evan S Dibiase: Competing devices responding to voice triggers. Apple, Morrison & Foerster, August 1, 2017: US09721566

At a first electronic device with a display and a microphone: sampling audio input using the first microphone; in accordance with the sampling of audio input using the first microphone, sending stop instructions to a second electronic device with a second microphone, the second electronic device ext ...


35
Matthias Paulik, Gunnar Evermann, Laurence S Gillick: Method and apparatus for discovering trending terms in speech requests. Apple, Dentons US, November 14, 2017: US09818400

Systems and processes are disclosed for discovering trending terms in automatic speech recognition. Candidate terms (e.g., words, phrases, etc.) not yet found in a speech recognizer vocabulary or having low language model probability can be identified based on trending usage in a variety of electron ...


36
Michael R Sumner, Brandon J Newendorp, Ryan M Orr: Structured dictation using intelligent automated assistants. Apple, Dentons US, January 9, 2018: US09865280

Systems and processes for structured dictation using intelligent automated assistants are provided. In one example process, a speech input representing a user request can be received. In addition, metadata associated with the speech input can be received. A text string corresponding to the speech in ...


37
Thomas R Gruber, Harry J Saddler, Jerome Rene Bellegarda, Bryce H Nyeggen, Alessandro Sabatelli: Multi-command single utterance input method. Apple, Dentons US, May 8, 2018: US09966065

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 proces ...


38
Philippe P Piernot, Justin G Binder: Reducing the need for manual start/end-pointing and trigger phrases. Apple, Morrison & Foerster, July 25, 2017: US09715875

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 sp ...


39
Thomas Robert Gruber, Christopher Dean Brigham, Daniel S Keen, Gregory Novick, Benjamin S Phipps: Using context information to facilitate processing of commands in a virtual assistant. Apple, Dentons US, January 2, 2018: US09858925

A virtual assistant uses context information to supplement natural language or gestural input from a user. Context helps to clarify the user's intent and to reduce the number of candidate interpretations of the user's input, and reduces the need for the user to provide excessive clarification input. ...


40
Caroline Henton, Devang Naik: Disambiguating heteronyms in speech synthesis. Apple, Morrison & Foerster, July 18, 2017: US09711141

Systems and processes for disambiguating heteronyms in speech synthesis are provided. In one example process, a speech input containing a heteronym can be received from a user. The speech input can be processed using an automatic speech recognition system to determine a phonemic string corresponding ...