SYSTEMS AND METHODS FOR NAME PRONUNCIATION
    11.
    发明申请

    公开(公告)号:US20180350345A1

    公开(公告)日:2018-12-06

    申请号:US16048043

    申请日:2018-07-27

    Applicant: Apple Inc.

    Inventor: Devang K. NAIK

    CPC classification number: G10L13/08 G10L13/086 G10L15/187

    Abstract: Systems and methods are provided for associating a phonetic pronunciation with a name by receiving the name, mapping the name to a plurality of monosyllabic components that are combinable to construct the phonetic pronunciation of the name, receiving a user input to select one or more of the plurality, and combining the selected one or more of the plurality of monosyllabic components to construct the phonetic pronunciation of the name.

    ROBUST END-POINTING OF SPEECH SIGNALS USING SPEAKER RECOGNITION
    13.
    发明申请
    ROBUST END-POINTING OF SPEECH SIGNALS USING SPEAKER RECOGNITION 审中-公开
    使用扬声器识别的语音信号的稳健终点

    公开(公告)号:US20150371665A1

    公开(公告)日:2015-12-24

    申请号:US14701147

    申请日:2015-04-30

    Applicant: Apple Inc.

    CPC classification number: G10L25/87 G10L17/00 G10L17/22 G10L25/78

    Abstract: Systems and processes for robust end-pointing of speech signals using speaker recognition are provided. In one example process, a stream of audio having a spoken user request can be received. A first likelihood that the stream of audio includes user speech can be determined. A second likelihood that the stream of audio includes user speech spoken by an authorized user can be determined. A start-point or an end-point of the spoken user request can be determined based at least in part on the first likelihood and the second likelihood.

    Abstract translation: 提供了使用说话人识别的语音信号的鲁棒终端指向的系统和过程。 在一个示例过程中,可以接收具有口头用户请求的音频流。 可以确定音频流包括用户语音的第一可能性。 可以确定音频流包括授权用户说出的用户语音的第二可能性。 可以至少部分地基于第一可能性和第二似然性来确定口头用户请求的起始点或终点。

    METHOD FOR EXTRACTING SALIENT DIALOG USAGE FROM LIVE DATA

    公开(公告)号:US20190034040A1

    公开(公告)日:2019-01-31

    申请号:US16144871

    申请日:2018-09-27

    Applicant: Apple Inc.

    Abstract: Systems and processes are disclosed for virtual assistant request recognition using live usage data and data relating to future events. User requests that are received but not recognized can be used to generate candidate request templates. A count can be associated with each candidate request template and can be incremented each time a matching candidate request template is received. When a count reaches a threshold level, the corresponding candidate request template can be used to train a virtual assistant to recognize and respond to similar user requests in the future. In addition, data relating to future events can be mined to extract relevant information that can be used to populate both recognized user request templates and candidate user request templates. Populated user request templates (e.g., whole expected utterances) can then be used to recognize user requests and disambiguate user intent as future events become relevant.

    NAME RECOGNITION SYSTEM
    16.
    发明申请

    公开(公告)号:US20170323637A1

    公开(公告)日:2017-11-09

    申请号:US15643741

    申请日:2017-07-07

    Applicant: Apple Inc.

    Inventor: Devang K. NAIK

    CPC classification number: G10L15/187 G10L15/30 G10L2015/025 G10L2015/0633

    Abstract: A speech recognition system uses, in one embodiment, an extended phonetic dictionary that is obtained by processing words in a user's set of databases, such as a user's contacts database, with a set of pronunciation guessers. The speech recognition system can use a conventional phonetic dictionary and the extended phonetic dictionary to recognize speech inputs that are user requests to use the contacts database, for example, to make a phone call, etc. The extended phonetic dictionary can be updated in response to changes in the contacts database, and the set of pronunciation guessers can include pronunciation guessers for a plurality of locales, each locale having its own pronunciation guesser.

    SOCIAL REMINDERS
    17.
    发明申请
    SOCIAL REMINDERS 有权
    社会提示

    公开(公告)号:US20160094979A1

    公开(公告)日:2016-03-31

    申请号:US14835540

    申请日:2015-08-25

    Applicant: Apple Inc.

    Abstract: 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 phonebook contact, when the user next encounters the contact.

    Abstract translation: 描述了基于电子设备的用户之间的社交交互来提供提醒的技术。 社交提示可以根据用户的社交互动进行触发。 例如,当用户下一次遇到联系人时,用户可以要求提醒与特定电话簿联系人讨论某个讨论话题。

    CACHING APPARATUS FOR SERVING PHONETIC PRONUNCIATIONS
    18.
    发明申请
    CACHING APPARATUS FOR SERVING PHONETIC PRONUNCIATIONS 有权
    用于服务电话宣传的缓存设备

    公开(公告)号:US20160093298A1

    公开(公告)日:2016-03-31

    申请号:US14835520

    申请日:2015-08-25

    Applicant: Apple Inc.

    Abstract: 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 users. The pronunciations can be tagged with context tags and stored in the shared pronunciation lexicon. The shared pronunciation lexicon can then be used to interpret a spoken user input received by a user device by determining a relevant subset of the shared pronunciation lexicon based on contextual information associated with the user device and performing speech-to-text conversion on the spoken user input using the determined subset of the shared pronunciation lexicon.

    Abstract translation: 提供了用于生成共享发音词典和使用共享发音词典来解释由虚拟助理接收的口语用户输入的系统和过程。 在一个示例中,该过程可以包括从多个用户接收单词或命名实体的发音。 发音可以用上下文标签标记,并存储在共享的发音词典中。 然后,共享的发音词典可以用于通过基于与用户设备相关联的上下文信息并且在口语用户上执行语音到文本转换来确定共享发音词典的相关子集来解释由用户设备接收的口语用户输入 输入使用确定的共享发音词典的子集。

    METHOD FOR EXTRACTING SALIENT DIALOG USAGE FROM LIVE DATA
    19.
    发明申请
    METHOD FOR EXTRACTING SALIENT DIALOG USAGE FROM LIVE DATA 审中-公开
    从实时数据中提取真实对话框的方法

    公开(公告)号:US20150161521A1

    公开(公告)日:2015-06-11

    申请号:US14099776

    申请日:2013-12-06

    Applicant: APPLE INC.

    CPC classification number: G06F3/0481 G06F17/278

    Abstract: Systems and processes are disclosed for virtual assistant request recognition using live usage data and data relating to future events. User requests that are received but not recognized can be used to generate candidate request templates. A count can be associated with each candidate request template and can be incremented each time a matching candidate request template is received. When a count reaches a threshold level, the corresponding candidate request template can be used to train a virtual assistant to recognize and respond to similar user requests in the future. In addition, data relating to future events can be mined to extract relevant information that can be used to populate both recognized user request templates and candidate user request templates. Populated user request templates (e.g., whole expected utterances) can then be used to recognize user requests and disambiguate user intent as future events become relevant.

    Abstract translation: 公开了使用实时使用数据和与未来事件相关的数据的虚拟助理请求识别的系统和过程。 接收但未识别的用户请求可用于生成候选请求模板。 计数可以与每个候选请求模板相关联,并且可以在每次接收到匹配的候选请求模板时递增计数。 当计数达到阈值水平时,可以使用相应的候选请求模板来训练虚拟助理以识别和响应将来的类似用户请求。 另外,与未来事件有关的数据也可以被挖掘出来,以提取可用于填充认可用户请求模板和候选用户请求模板的相关信息。 然后可以使用填充的用户请求模板(例如,整个预期的话语)来识别用户请求,并在未来的事件变得相关时消除用户意图。

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