METHOD AND APPARATUS FOR DISCOVERING TRENDING TERMS IN SPEECH REQUESTS
    1.
    发明申请
    METHOD AND APPARATUS FOR DISCOVERING TRENDING TERMS IN SPEECH REQUESTS 有权
    用于发现语音请求中的趋势条件的方法和装置

    公开(公告)号:US20160078860A1

    公开(公告)日:2016-03-17

    申请号:US14839835

    申请日:2015-08-28

    申请人: Apple Inc.

    摘要: 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.

    摘要翻译: 公开了用于发现自动语音识别中的趋势术语的系统和过程。 可以基于各种电子数据源中的趋势使用(例如,社交网络馈送,新闻源,语音识别器词汇或新闻源)的语音识别器词汇或语言模型概率较低的候选词语(例如单词,短语等) 搜索查询等)。 当确定候选词时,可以搜索现场或最近语音流量的档案以确定用户是否在听写或语音请求中发出候选词。 这样的搜索可以使用开放词汇词汇检测来完成,以便在音频档案中找到语音匹配。 由于候选词在语音流中被发现,所以可以生成识别候选词的通知,提供相关的使用统计,识别使用术语的上下文等。

    METHOD AND APPARATUS FOR DISCOVERING TRENDING TERMS IN SPEECH REQUESTS

    公开(公告)号:US20180108346A1

    公开(公告)日:2018-04-19

    申请号:US15803584

    申请日:2017-11-03

    申请人: Apple Inc.

    摘要: 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.

    SPEAKER RECOGNITION
    3.
    发明申请
    SPEAKER RECOGNITION 审中-公开

    公开(公告)号:US20170092278A1

    公开(公告)日:2017-03-30

    申请号:US15163392

    申请日:2016-05-24

    申请人: Apple Inc.

    摘要: A non-transitory computer-readable storage medium stores one or more programs including instructions, which when executed by an electronic device, cause the electronic device to receive natural-language speech input from one of a plurality of users, the natural-language speech input having a set of acoustic properties; and determine whether the natural-language speech input corresponds to both a user-customizable lexical trigger and a set of acoustic properties associated with the user; where in accordance with a determination that the natural language speech input corresponds to both a user-customizable lexical trigger and a set of acoustic properties associated with the user, invoke a virtual assistant; and in accordance with a determination that either the natural language speech input fails to correspond to a user-customizable lexical trigger or the natural-language speech input fails to have a set of acoustic properties associated with the user, forego invocation of a virtual assistant.

    SYSTEM AND METHOD FOR INFERRING USER INTENT FROM SPEECH INPUTS
    5.
    发明申请
    SYSTEM AND METHOD FOR INFERRING USER INTENT FROM SPEECH INPUTS 审中-公开
    用于从语音输入中输入用户信息的系统和方法

    公开(公告)号:US20140365209A1

    公开(公告)日:2014-12-11

    申请号:US14298725

    申请日:2014-06-06

    申请人: Apple Inc.

    发明人: Gunnar EVERMANN

    IPC分类号: G06F17/27 G06F17/21

    摘要: 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.

    摘要翻译: 提供具有第一和第二部分的文本串。 通过将第一个字匹配处理应用于文本串的第一部分来确定文本串的域。 然后通过对文本串的第二部分应用第二字匹配处理来确定文本字符串的第二部分是否与通过与域相关联的一组字的单词相匹配。 在确定文本字符串的第二部分与单词集合中的单词匹配时,至少部分地基于域和单词集合的字确定来自文本串的用户意图。

    SYSTEM AND METHOD FOR INFERRING USER INTENT FROM SPEECH INPUTS

    公开(公告)号:US20190179890A1

    公开(公告)日:2019-06-13

    申请号:US16204467

    申请日:2018-11-29

    申请人: Apple Inc.

    发明人: Gunnar EVERMANN

    IPC分类号: G06F17/27

    摘要: 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.