Apple Inc.

Nuance Communications, Inc.

Gunnar Evermann

Vladimir Sejnoha

Thomas R Gruber

William F Ganong, Iii

Stephen W Laverty

Marc W Regan

Hong M Chen

Devang Kalidas Naik

Laurence Steven Gillick

Justin G Binder

Sean P Brown

Matthias Paulik

Lia T Napolitano

Charles Srisuwananukorn

Shaun Eric Williams

Liam Weiner

John R Watson

Ryan S LaSante

Jeremy A Slater

Peter K Lyons

Bryan Hansen

Michael D Edgington

Melvyn J Hunt

Gary B Clayton

Murat Akbacak

Yik-Cheung Tam

Adrian Skilling

Victor S Chen

A text string with a first and a second portion is provided. A domain of the text string is determined by applying a first word-matching process to the first portion of the text string. It is then determined whether the second portion of the text string matches a word of a set of words associated with the domain by applying a second word-matching process to the second portion of the text string. Upon determining that the second portion of the text string matches the word of the set of words, it is determined whether a user intent from the text string based at least in part on the domain and the word of the set of words.

System and method for inferring user intent from speech inputs

Systems and processes for identifying of a voice input providing one or more user credentials are provided. In one example process, a voice input can be received. A first character, a phrase identifying a second character, and a word can be identified based on the voice input. In response to the identification, the first character, the second character, and the word can be converted to text. The text can be caused to display, with a display, in a sequence corresponding to an order of the first character, the second character, and the word in the voice input.

Identification of voice inputs providing credentials

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 electronic data sources (e.g., social network feeds, news sources, search queries, etc.). When candidate terms are identified, archives of live or recent speech traffic can be searched to determine whether users are uttering the candidate terms in dictation or speech requests. Such searching can be done using open vocabulary spoken term detection to find phonetic matches in the audio archives. As the candidate terms are found in the speech traffic, notifications can be generated that identify the candidate terms, provide relevant usage statistics, identify the context in which the terms are used, and the like.

Method and apparatus for discovering trending terms in speech requests

Systems and processes for operating an intelligent automated assistant to provide media items based on phonetic matching techniques are provided. An example method includes receiving a speech input from a user and determining whether the speech input includes a user request for a media item. The method further includes, in accordance with a determination that the speech input includes a user request for obtaining a media item, determining a candidate media item from a plurality of media items. The method further includes determining, based on a difference between a phonetic representation of the candidate media item and a phonetic representation of the speech input, whether the candidate media item is to be provided to the user. The method further includes, in accordance with a determination that the candidate media item is to be provided to the user, providing the candidate media item to the user.

Methods and systems for phonetic matching in digital assistant services

The method is performed at an electronic device with one or more processors and memory storing one or more programs for execution by the one or more processors. A first speech input including at least one word is received. A first phonetic representation of the at least one word is determined, the first phonetic representation comprising a first set of phonemes selected from a speech recognition phonetic alphabet. The first set of phonemes is mapped to a second set of phonemes to generate a second phonetic representation, where the second set of phonemes is selected from a speech synthesis phonetic alphabet. The second phonetic representation is stored in association with a text string corresponding to the at least one word.

System and method for user-specified pronunciation of words for speech synthesis and recognition

Some embodiments relate to techniques for receiving a query from a device, the query comprising content; determining based at least in part on the content of the query that an application is to be launched on the device; and causing the device to launch the application using at least some information determined from the content of the query. Some embodiments relate to techniques for receiving a free-form query from a user; transferring a representation of the query to at least one computer; and receiving from the at least one computer at least one instruction to launch an application on the device.

Methods and apparatus for initiating an action

Some embodiments relate to performing a search for content via the Internet, wherein user input specifying a search query is supplied to a mobile communications device, such as, for example, a smartphone. The mobile communications device separately issues the search query to a plurality of search engines and can receive the results from each search engine and display the results to the user. Thus, the user does not have to separately issue the query to each of the plurality of search engines.

Methods and apparatus for searching the Internet

Some embodiments relate to techniques for performing a search for content, in which a user may issue a search query, and the search engine or engines to which that query is provided may be determined dynamically based on any of a variety of factors. For example, in some embodiments, the search engine or engines to which the query is provided may be determined based on the content of the search query, and/or auxiliary information such as the user's location, demographics, query history and/or browsing history.

Methods and apparatus for identifying and providing information sought by a user

Systems, methods and apparatus for determining an estimated endpoint of human speech in a sound wave received by a mobile device having a speech encoder for encoding the sound wave to produce an encoded representation of the sound wave. The estimated endpoint may be determined by analyzing information available from the speech encoder, without analyzing the sound wave directly and without producing a decoded representation of the sound wave. The encoded representation of the sound wave may be transmitted to a remote server for speech recognition processing, along with an indication of the estimated endpoint.

Using codec parameters for endpoint detection in speech recognition

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Boston, MA, United States of America

Gunnar Evermann