Method and parental control and monitoring of usage of devices connected to home network
    31.
    发明授权
    Method and parental control and monitoring of usage of devices connected to home network 有权
    与家庭网络连接的设备的使用方法和家长监控

    公开(公告)号:US07046139B2

    公开(公告)日:2006-05-16

    申请号:US10831927

    申请日:2004-04-26

    Abstract: A device usage monitoring and control system for accomplishing parental monitoring and control of devices connected to a home network includes a permissions module receiving and storing control commands from a parent defining permissions with respect to one or more children. The permissions specify levels of access to devices connected to a home network and/or classifications of media content consumable via the devices. A control module grants a child access to the devices and/or media content via the devices based on the levels of access. A monitoring module monitors the child's usage of the devices and/or the child's consumption of media content via the devices, stores a related usage history, and communicates the usage history to the parent.

    Abstract translation: 用于实现家庭网络连接到家庭网络的设备的家长监视和控制的设备使用监视和控制系统包括权限模块,其接收和存储来自父母的关于一个或多个孩子的许可的控制命令。 权限指定对连接到家庭网络的设备的访问级别和/或经由设备可消费的媒体内容的分类。 控制模块基于访问级别经由设备授予儿童对设备和/或媒体内容的访问。 监控模块通过设备监视孩子对设备的使用和/或儿童的消费,存储相关的使用历史,并将使用历史传达给父母。

    Method for parental control and monitoring of usage of devices connected to home network
    32.
    发明申请
    Method for parental control and monitoring of usage of devices connected to home network 有权
    父母控制和监控连接到家庭网络的设备的使用方法

    公开(公告)号:US20050240959A1

    公开(公告)日:2005-10-27

    申请号:US10831927

    申请日:2004-04-26

    Abstract: A device usage monitoring and control system for accomplishing parental monitoring and control of devices connected to a home network includes a permissions module receiving and storing control commands from a parent defining permissions with respect to one or more children. The permissions specify levels of access to devices connected to a home network and/or classifications of media content consumable via the devices. A control module grants a child access to the devices and/or media content via the devices based on the levels of access. A monitoring module monitors the child's usage of the devices and/or the child's consumption of media content via the devices, stores a related usage history, and communicates the usage history to the parent.

    Abstract translation: 用于实现家庭网络连接到家庭网络的设备的家长监视和控制的设备使用监视和控制系统包括权限模块,其接收和存储来自父母的关于一个或多个孩子的许可的控制命令。 权限指定对连接到家庭网络的设备的访问级别和/或经由设备可消费的媒体内容的分类。 控制模块基于访问级别经由设备授予儿童对设备和/或媒体内容的访问。 监控模块通过设备监视孩子对设备的使用和/或儿童的消费,存储相关的使用历史,并将使用历史传达给父母。

    Technique for developing discriminative sound units for speech recognition and allophone modeling
    33.
    发明授权
    Technique for developing discriminative sound units for speech recognition and allophone modeling 有权
    用于发展用于语音识别和异音素建模的辨别声音单元的技术

    公开(公告)号:US06711541B1

    公开(公告)日:2004-03-23

    申请号:US09390434

    申请日:1999-09-07

    CPC classification number: G10L15/063 G10L2015/025

    Abstract: A set of models is developed to represent sound units and these models are then used with the incorrect sound units to determine which generate high likelihood scores. The models generating high likelihood scores for the incorrect sound units represent those that are more likely to be confused. The resulting confusability data may then be used in generating more discriminative speech models and in subsequent pruning of the acoustic decision tree. The confusability data may also be used to develop confusability predictors used for rejection during search and in developing continuous speech recognition models that are optimized to minimize confusability.

    Abstract translation: 开发了一组模型来表示声音单元,然后将这些模型与不正确的声音单元一起使用以确定哪个产生高似然分数。 为不正确声音单位产生高似然分数的模型代表更可能被混淆的那些。 所产生的可混淆性数据然后可以用于产生更具歧视性的语音模型以及随后的声学决策树的修剪。 可混淆性数据还可用于开发用于搜索期间拒绝的混淆性预测变量,并开发出经过优化以最小化混淆性的连续语音识别模型。

    Speaker verification and speaker identification based on a priori knowledge
    34.
    发明授权
    Speaker verification and speaker identification based on a priori knowledge 有权
    基于先验知识的扬声器验证和扬声器识别

    公开(公告)号:US06697778B1

    公开(公告)日:2004-02-24

    申请号:US09610495

    申请日:2000-07-05

    CPC classification number: G10L17/02

    Abstract: Client speaker locations in a speaker space are used to generate speech models for comparison with test speaker data or test speaker speech models. The speaker space can be constructed using training speakers that are entirely separate from the population of client speakers, or from client speakers, or from a mix of training and client speakers. Reestimation of the speaker space based on client environment information is also provided to improve the likelihood that the client data will fall within the speaker space. During enrollment of the clients into the speaker space, additional client speech can be obtained when predetermined conditions are met. The speaker distribution can also be used in the client enrollment step.

    Abstract translation: 扬声器空间中的客户扬声器位置用于产生用于与测试扬声器数据或测试扬声器语音模型进行比较的语音模型。 扬声器空间可以使用与客户端扬声器或客户端扬声器完全分开的训练扬声器,或者由训练和客户端扬声器组合构成。 还提供了基于客户端环境信息对扬声器空间的再估计,以提高客户端数据落入扬声器空间的可能性。 在将客户登记到扬声器空间中,当满足预定条件时,可以获得额外的客户端语音。 扬声器分配也可以在客户端注册步骤中使用。

    Voice activated controller for recording and retrieving audio/video programs
    35.
    发明授权
    Voice activated controller for recording and retrieving audio/video programs 有权
    语音激活控制器,用于记录和检索音频/视频节目

    公开(公告)号:US06643620B1

    公开(公告)日:2003-11-04

    申请号:US09270262

    申请日:1999-03-15

    Abstract: The system includes a database of program records representing A/V programs which are available for recording. The system also includes an A/V recording device for receiving a recording command and recording the A/V program. A speech recognizer is provided for receiving the spoken request and translating the spoken request into a text stream having a plurality of words. A natural language processor receives the text stream and processes the words for resolving a semantic content of the spoken request. The natural language processor places the meaning of the words into a task frame having a plurality of key word slots. A dialogue system analyzes the task frame for determining if a sufficient number of key word slots have been filled and prompts the user for additional information for filling empty slots. The dialogue system searches the database of program records using the key words placed within the task frame for selecting the A/V program and generating the recording command for use by the A/V recording device.

    Abstract translation: 该系统包括表示可用于记录的A / V节目的节目记录的数据库。 该系统还包括用于接收记录命令并记录A / V程序的A / V记录装置。 语音识别器被提供用于接收口头请求并将口头请求转换成具有多个单词的文本流。 自然语言处理器接收文本流并处理用于解析语音请求的语义内容的单词。 自然语言处理器将单词的含义置于具有多个关键字时隙的任务帧中。 对话系统分析任务框以确定是否已经填充了足够数量的关键字槽,并提示用户填充空槽的附加信息。 对话系统使用放置在任务帧内的关键词来搜索节目记录的数据库,用于选择A / V节目并产生由A / V记录装置使用的记录命令。

    Dimensionality reduction for speaker normalization and speaker and environment adaptation using eigenvoice techniques
    36.
    发明授权
    Dimensionality reduction for speaker normalization and speaker and environment adaptation using eigenvoice techniques 有权
    使用本征语音技术的扬声器归一化和扬声器和环境适应的尺寸减小

    公开(公告)号:US06343267B1

    公开(公告)日:2002-01-29

    申请号:US09148753

    申请日:1998-09-04

    CPC classification number: G06K9/6247 G10L15/07

    Abstract: A set of speaker dependent models or adapted models is trained upon a comparatively large number of training speakers, one model per speaker, and model parameters are extracted in a predefined order to construct a set of supervectors, one per speaker. Dimensionality reduction is then performed on the set of supervectors to generate a set of eigenvectors that define an eigenvoice space. If desired, the number of vectors may be reduced to achieve data compression. Thereafter, a new speaker provides adaptation data from which a supervector is constructed by constraining this supervector to be in the eigenvoice space based on a maximum likelihood estimation. The resulting coefficients in the eigenspace of this new speaker may then be used to construct a new set of model parameters from which an adapted model is constructed for that speaker. The adapted model may then be further adapted via MAP, MLLR, MLED or the like. The eigenvoice technique may be applied to MLLR transformation matrices or the like; Bayesian estimation performed in eigenspace uses prior knowledge about speaker space density to refine the estimate about the location of a new speaker in eigenspace.

    Abstract translation: 一组扬声器依赖模型或适应模型被训练在相对较多数量的训练扬声器上,每个扬声器一个模型和模型参数以预定义的顺序被提取以构造一组超级矢量,每个扬声器一个。 然后对该一组超级矢量执行尺寸减小,以生成一组定义本征语音空间的特征向量。 如果需要,可以减少向量的数量以实现数据压缩。 此后,新的说话者提供了通过基于最大似然估计将该超向量限制在本征语音空间中来构建超向量的适配数据。 然后,可以使用这个新的说话者的本征空间中得到的系数来构建一组新的模型参数,从该模型参数构建适合于该说话者的适应模型。 然后可以通过MAP,MLLR,MLED等进一步适配适配模型。 本征语音技术可以应用于MLLR变换矩阵等; 在本体空间中执行的贝叶斯估计使用关于扬声器空间密度的先前知识来改进关于本征空间中新的说话者位置的估计。

    Speaker and environment adaptation based on eigenvoices
    37.
    发明授权
    Speaker and environment adaptation based on eigenvoices 失效
    基于本征语音的演讲者和环境适应

    公开(公告)号:US06327565B1

    公开(公告)日:2001-12-04

    申请号:US09070208

    申请日:1998-04-30

    CPC classification number: G10L15/07

    Abstract: A set of speaker dependent models is trained upon a comparatively large number of training speakers, one model per speaker, and model parameters are extracted in a predefined order to construct a set of supervectors, one per speaker. Principal component analysis is then performed on the set of supervectors to generate a set of eigenvectors that define an eigenvoice space. If desired, the number of vectors may be reduced to achieve data compression. Thereafter, a new speaker provides adaptation data from which a supervector is constructed by constraining this supervector to be in the eigenvoice space. The resulting coefficients in the eigenspace of this new speaker may then be used to construct a new set of model parameters from which an adapted model is constructed for that speaker. Environmental adaptation may be performed by including environmental variations in the training data.

    Abstract translation: 一组扬声器依赖模型训练在相对较多数量的训练扬声器上,每个扬声器一个模型和模型参数以预定义的顺序提取,以构建一组超级矢量,每个扬声器一个。 然后对该组超导向量执行主成分分析,以生成一组定义本征语音空间的特征向量。 如果需要,可以减少向量的数量以实现数据压缩。 此后,新的扬声器提供通过将该超向量约束为在本征语音空间中构成超向量的自适应数据。 然后,可以使用这个新的说话者的本征空间中得到的系数来构建一组新的模型参数,从该模型参数构建适合于该说话者的适应模型。 可以通过在训练数据中包括环境变化来执行环境适应。

    Intermediary speech processor in network environments transforming customized speech parameters
    39.
    发明授权
    Intermediary speech processor in network environments transforming customized speech parameters 有权
    中介语音处理器在网络环境中转换定制语音参数

    公开(公告)号:US07533023B2

    公开(公告)日:2009-05-12

    申请号:US10365235

    申请日:2003-02-12

    Abstract: A speech processing system is provided for customizing speech parameters across speech applications in a networked environment. The speech processing system includes: a speech processing application residing on a first computing device, where the speech processing application is operable to capture customized speech parameters for a given user and communicate the customized speech parameters across a network; and an intermediary speech processor residing on a second computing device in the networked environment, where the intermediary speech processor adapted to receive the customized speech parameters and is operable to transform the customized speech parameters for use on a third computing device.

    Abstract translation: 提供语音处理系统,用于在网络环境中的语音应用之间定制语音参数。 语音处理系统包括:驻留在第一计算设备上的语音处理应用,其中语音处理应用可操作以捕获给定用户的定制语音参数,并通过网络传送定制语音参数; 以及驻留在所述联网环境中的第二计算设备上的中间语音处理器,其中所述中间语音处理器适于接收所述定制语音参数,并且可操作以变换所述定制语音参数以在第三计算设备上使用。

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