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    CUSTOMIZED SPEECH GENERATION
    3.
    发明申请
    CUSTOMIZED SPEECH GENERATION 有权
    定制语音生成

    公开(公告)号：US20140229182A1

    公开(公告)日：2014-08-14

    申请号：US14257922

    申请日：2014-04-21

    Applicant: Amazon Technologies, Inc.

    Inventor： Isaac Scott Noble ,  Gabrielle M. Halberg ,  Kenneth Mark Karakotsios ,  Yuzo Watanabe

    IPC: G10L13/027

    CPC classification number: H04L12/58 ,  G06F17/27 ,  G06F17/2881 ,  G10L13/027 ,  G10L15/18 ,  H04L51/00 ,  H04L51/02 ,  H04M1/64 ,  H04M1/72547 ,  H04M2250/10

    Abstract: Various approaches enable automatic communication generation based on patterned behavior in a particular context. For example, a computing device can monitor behavior of a user to determine patterns of communication behavior in certain situations. In response to detecting multiple occurrences of the certain situation, a computing device can prompt a user to perform an action corresponding to the pattern of behavior. In some embodiments, a set of speech models corresponding to a type of contact is generated. The speech models include language consistent with patterns of speech between a user and the type of contact. Based on context and on the contact, a message using language consistent with past communications between the user and contact is generated from a speech model associated with the type of contact.

    Abstract translation: 各种方法使得能够在特定上下文中基于图案行为的自动通信生成。 例如，计算设备可以监视用户的行为以确定某些情况下的通信行为的模式。 响应于检测到多次出现某些情况，计算设备可以提示用户执行与行为模式相对应的动作。 在一些实施例中，生成对应于一种类型的联系的一组语音模型。 语音模型包括与用户与联系人类型之间的语言模式一致的语言。 基于上下文和联系人，使用与用户和联系人之间的过去通信一致的语言的消息从与联系人类型相关联的语音模型生成。

    Speech recognition capability generation and control
    4.
    发明授权
    Speech recognition capability generation and control 有权
    语音识别能力的生成与控制

    公开(公告)号：US09443527B1

    公开(公告)日：2016-09-13

    申请号：US14040011

    申请日：2013-09-27

    Applicant: Amazon Technologies, Inc.

    Inventor： Yuzo Watanabe ,  Arushan Rajasekaram ,  Rajiv Ramachandran ,  Mark Steven Baumback

    IPC: G10L21/00 ,  G10L15/26 ,  G10L15/22 ,  G10L15/08 ,  G10L15/30

    CPC classification number: G10L15/22 ,  G10L15/08 ,  G10L15/19 ,  G10L15/265 ,  G10L15/30 ,  G10L2015/223

    Abstract: A system for controlling multiple devices using automatic speech recognition (ASR) even when the devices may not be capable of performing ASR themselves. A device such as a media player, appliance, or the like may be recognized by a network. The configured controls for the device (such as a remote control or other mechanism) are incorporated into a device control registry which catalogs device command controls. Individual ASR grammars are constructed for the devices so speech commands for those devices may be processed by an ASR device. The ASR device may then process those speech commands and convert them into the appropriate inputs for the controlled device. The inputs may then be sent to the controlled device, resulting in ASR control for non-ASR devices.

    Abstract translation: 即使设备可能无法执行ASR本身，也可以使用自动语音识别（ASR）来控制多个设备的系统。 诸如媒体播放器，设备等的设备可被网络识别。 设备的配置控件（如远程控制或其他机制）被合并到设备控制注册表中，该设备控制注册表编制设备命令控件。 为设备构建单独的ASR语法，因此这些设备的语音命令可能由ASR设备进行处理。 然后，ASR设备可以处理那些语音命令，并将它们转换为受控设备的适当输入。 然后可以将输入发送到受控设备，导致非ASR设备的ASR控制。

    Retrieval and management of spoken language understanding personalization data
    5.
    发明授权
    Retrieval and management of spoken language understanding personalization data 有权
    口语理解个性化数据的检索和管理

    公开(公告)号：US09361289B1

    公开(公告)日：2016-06-07

    申请号：US14015697

    申请日：2013-08-30

    Applicant: Amazon Technologies, Inc.

    Inventor： Madan Mohan Rao Jampani ,  Arushan Rajasekaram ,  Nikko Strom ,  Yuzo Watanabe ,  Stan Weidner Salvador

    IPC: G06F17/27 ,  G10L15/00

    CPC classification number: G10L15/18 ,  G06F17/30684 ,  G10L15/07

    Abstract: Features are disclosed for maintaining data that can be used to personalize spoken language processing, such as automatic speech recognition (“ASR”), natural language understanding (“NLU”), natural language processing (“NLP”), etc. The data may be obtained from various data sources, such as applications or services used by the user. User-specific data maintained by the data sources can be retrieved and stored for use in generating personal models. Updates to data at the data sources may be reflected by separate data sets in the personalization data, such that other processes can obtain the update data sets separate from other data.

    Abstract translation: 公开了用于维护可用于个性化口语处理的数据的特征，例如自动语音识别（“ASR”），自然语言理解（“NLU”），自然语言处理（“NLP”）等。数据可以 可以从各种数据源获得，例如用户使用的应用程序或服务。 可以检索和存储由数据源维护的用户特定数据，以用于生成个人模型。 数据源上的数据更新可以通过个性化数据中的单独的数据集来反映，使得其他进程可以获得与其他数据分离的更新数据集。

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