Method and apparatus for determining a user age range
    22.
    发明授权
    Method and apparatus for determining a user age range 有权
    用于确定用户年龄范围的方法和装置

    公开(公告)号:US09105053B2

    公开(公告)日:2015-08-11

    申请号:US13634811

    申请日:2010-03-23

    CPC分类号: G06Q30/0271 G06Q30/0267

    摘要: An approach is provided for determining a user age range. An age estimator causes, at least in part, acquisition of voice data. Next, the age estimator calculates a first set of probability values, wherein each of the probability values represents a probability that the voice data is in a respective one of a plurality of predefined age ranges, and the predefined age ranges are segments of a lifespan. Then, the age estimator derives a second set of probability values by applying a correlation matrix to the first set of probability values, wherein the correlation matrix associates the first set of probability values with probabilities of the voice data matching individual ages over the lifespan. Then, the age estimator, for each of the predefined age ranges, calculates a sum of the probabilities in the second set of probability values corresponding to the individual ages within the respective predefined age ranges. Further, the age estimator determines the predefined age range to associate with the voice data based, at least in part, on the calculated sums of the probabilities.

    摘要翻译: 提供了一种用于确定用户年龄范围的方法。 年龄估计器至少部分地导致获取语音数据。 接下来,年龄估计器计算第一组概率值,其中每个概率值表示语音数据在多个预定义年龄范围中的相应一个中的概率,并且预定义的年龄段是寿命段。 然后,年龄估计器通过将相关矩阵应用于第一组概率值来导出第二组概率值,其中相关矩阵将第一组概率值与在寿命期间匹配个体年龄的语音数据的概率相关联。 然后,对于每个预定义的年龄范围,年龄估计器计算对应于各个预定年龄范围内的各个年龄的第二组概率值中的概率之和。 此外,年龄估计器至少部分地基于计算出的概率的和来确定与语音数据相关联的预定年龄范围。

    Methods and apparatuses for user interest modeling
    23.
    发明授权
    Methods and apparatuses for user interest modeling 有权
    用户兴趣建模的方法和设备

    公开(公告)号:US09031952B2

    公开(公告)日:2015-05-12

    申请号:US13519875

    申请日:2009-12-31

    IPC分类号: G06F17/30 G06Q30/02

    CPC分类号: G06F17/30616 G06Q30/02

    摘要: Methods and apparatuses are provided for user interest modeling. A method may include accessing logged interactive user history data for a user data for a user. The method may additionally include determining at least one user interest topic for the user by utilizing a topic model acting upon at least a portion of the logged interactive user history data and one or more seed documents generated from a topic feature source. Corresponding apparatuses are also provided.

    摘要翻译: 为用户兴趣建模提供了方法和设备。 方法可以包括访问用户的用户数据的记录的交互式用户历史数据。 该方法可以另外包括通过利用作用于所记录的交互式用户历史数据的至少一部分的主题模型和从主题特征源生成的一个或多个种子文档来确定用户的至少一个用户兴趣主题。 还提供了相应的装置。

    METHOD AND APPARATUS FOR PROVIDING HUB-BASED INDEXING AND SERVICES
    24.
    发明申请
    METHOD AND APPARATUS FOR PROVIDING HUB-BASED INDEXING AND SERVICES 有权
    提供基于HUB的索引和服务的方法和装置

    公开(公告)号:US20150031400A1

    公开(公告)日:2015-01-29

    申请号:US14379976

    申请日:2012-02-29

    IPC分类号: H04W4/02

    摘要: An approach is provided for providing hub-based indexing and services. The hub-based platform causes, at least in part, an indexing of location-based content according to one or more location hubs of one or more transportation lines, Next, the hub-based platform determines a current proximity, a predicted proximity, or a combination thereof of one or more devices to the one or more location hubs, wherein the one or more devices are (a) traveling on the one or more transportation lines, (b) predicted to travel on the one or more transportation lines, or (c) a combination thereof. Then, the hub-based platform causes, at least in part, a presentation of at least a portion of the location-based content based, at least in part, on the current proximity, the predicted proximity, or a combination thereof.

    摘要翻译: 提供了一种提供基于中心的索引和服务的方法。 基于集线器的平台至少部分地导致根据一个或多个传输线的一个或多个位置集线器对基于位置的内容的索引。接下来,基于集线器的平台确定当前接近度,预测的接近度,或者 一个或多个设备的组合到所述一个或多个位置轮毂,其中所述一个或多个设备是(a)在所述一条或多条运输线路上行驶,(b)预测在所述一条或多条运输线路上行驶,或 (c)其组合。 然后,基于集线器的平台至少部分地至少部分地基于当前接近度,预测接近度或其组合来呈现基于位置的内容的至少一部分。

    Methods and Apparatuses for User Interest Modeling
    26.
    发明申请
    Methods and Apparatuses for User Interest Modeling 有权
    用户兴趣建模的方法与设备

    公开(公告)号:US20120290599A1

    公开(公告)日:2012-11-15

    申请号:US13519875

    申请日:2009-12-31

    IPC分类号: G06F17/30

    CPC分类号: G06F17/30616 G06Q30/02

    摘要: Methods and apparatuses are provided for user interest modeling. A method may include accessing logged interactive user history data for a user data for a user. The method may additionally include determining at least one user interest topic for the user by utilizing a topic model acting upon at least a portion of the logged interactive user history data and one or more seed documents generated from a topic feature source is feature source. Corresponding apparatuses are also provided.

    摘要翻译: 为用户兴趣建模提供了方法和设备。 方法可以包括访问用户的用户数据的记录的交互式用户历史数据。 该方法可以另外包括通过利用作用在记录的交互式用户历史数据的至少一部分上的主题模型来确定用户的至少一个用户兴趣话题,并且从主题特征源生成的一个或多个种子文档是特征源。 还提供了相应的装置。

    METHOD AND APPARATUS PROVIDING FOR DIRECT CONTROLLED ACCESS TO A DYNAMIC USER PROFILE
    27.
    发明申请
    METHOD AND APPARATUS PROVIDING FOR DIRECT CONTROLLED ACCESS TO A DYNAMIC USER PROFILE 审中-公开
    直接控制访问动态用户配置文件的方法和设备

    公开(公告)号:US20110320741A1

    公开(公告)日:2011-12-29

    申请号:US12824677

    申请日:2010-06-28

    IPC分类号: G06F12/00

    摘要: An apparatus may include a profile determiner configured to determine a user profile. A contextual characteristic determiner may be configured to determine contextual characteristics relating to the apparatus and/or the user of the apparatus such that the profile determiner may infer user preferences and thereby create a dynamic portion of the user profile. An index builder may be configured to build an index of profile categories included within the user profile. A subscription registrar may cause the user profile to be registered for sharing with a service provider. Thereby a profile manager may provide for direct controlled access to the user profile which may be limited by user selection of permission levels and/or profile categories which are shared. Thereby access to the user profile may occur directly with the apparatus without storing the user profile on a separate server.

    摘要翻译: 设备可以包括被配置为确定用户简档的简档确定器。 上下文特征确定器可以被配置为确定与设备和/或设备的用户相关的上下文特性,使得简档确定器可以推断用户偏好,从而创建用户简档的动态部分。 可以将索引构建器配置为构建包括在用户简档内的简档类别的索引。 订阅注册商可能会将用户配置文件注册为与服务提供商共享。 因此,简档管理器可以提供对用户简档的直接受控访问,其可以由用户选择许可级别和/或共享的简档类别来限制。 因此,可以直接用设备访问用户简档,而不将用户简档存储在单独的服务器上。

    Apparatus, method and computer program product providing a hierarchical approach to command-control tasks using a brain-computer interface
    28.
    发明授权
    Apparatus, method and computer program product providing a hierarchical approach to command-control tasks using a brain-computer interface 有权
    装置,方法和计算机程序产品使用脑机接口为命令控制任务提供分层方法

    公开(公告)号:US08005766B2

    公开(公告)日:2011-08-23

    申请号:US11787906

    申请日:2007-04-17

    摘要: Disclosed is a method, a computer program product, and a device that are responsive to detected mental states of a user to perform selection processes to execute a task. The method includes providing a hierarchical multi-level decision tree structure comprised of internal nodes and leaf nodes, where the decision tree structure represents a task. The method further includes navigating, using information derived from detected mental states of the user, through levels of the decision tree structure to reach a leaf node to accomplish the task. The step of navigating includes selecting, using the information derived from the detected mental states of the user, between attribute values associated with internal nodes of the decision tree structure. As non-limiting examples, the device may be a communication device, and the task may be a name dialing or a command/control task.

    摘要翻译: 公开了一种方法,计算机程序产品和装置,其响应于检测到的用户的精神状态来执行选择过程以执行任务。 该方法包括提供由内部节点和叶节点组成的分级多层决策树结构,其中决策树结构表示任务。 该方法还包括通过决定树结构的层次,使用从检测到的用户的精神状态导出的信息,导航到叶节点来完成任务。 导航步骤包括使用从检测到的用户的精神状态导出的信息,在与决策树结构的内部节点相关联的属性值之间进行选择。 作为非限制性示例,设备可以是通信设备,并且该任务可以是姓名拨号或命令/控制任务。

    Method, apparatus and computer program product for providing voice conversion using temporal dynamic features
    29.
    发明授权
    Method, apparatus and computer program product for providing voice conversion using temporal dynamic features 有权
    用于使用时间动态特征提供语音转换的方法,装置和计算机程序产品

    公开(公告)号:US07848924B2

    公开(公告)日:2010-12-07

    申请号:US11788263

    申请日:2007-04-17

    IPC分类号: G10L21/00

    CPC分类号: G10L13/033

    摘要: An apparatus for providing voice conversion using temporal dynamic features includes a feature extractor and a transformation element. The feature extractor may be configured to extract dynamic feature vectors from source speech. The transformation element may be in communication with the feature extractor and configured to apply a first conversion function to a signal including the extracted dynamic feature vectors to produce converted dynamic feature vectors. The first conversion function may have been trained using at least dynamic feature data associated with training source speech and training target speech. The transformation element may be further configured to produce converted speech based on an output of applying the first conversion function.

    摘要翻译: 用于使用时间动态特征提供语音转换的装置包括特征提取器和变换元件。 特征提取器可以被配置为从源语音提取动态特征向量。 变换元件可以与特征提取器通信并且被配置为将第一转换函数应用于包括所提取的动态特征向量的信号以产生转换的动态特征向量。 可以使用至少与训练源语音和训练目标语音相关联的动态特征数据来训练第一转换功能。 转换元件还可以被配置为基于应用第一转换函数的输出来产生转换的语音。

    Soft alignment based on a probability of time alignment
    30.
    发明授权
    Soft alignment based on a probability of time alignment 有权
    基于时间对齐概率的软对齐

    公开(公告)号:US07505950B2

    公开(公告)日:2009-03-17

    申请号:US11380289

    申请日:2006-04-26

    CPC分类号: G10L13/033 G10L2021/0135

    摘要: Systems and methods are provided for performing soft alignment in Gaussian mixture model (GMM) based and other vector transformations. Soft alignment may assign alignment probabilities to source and target feature vector pairs. The vector pairs and associated probabilities may then be used calculate a conversion function, for example, by computing GMM training parameters from the joint vectors and alignment probabilities to create a voice conversion function for converting speech sounds from a source speaker to a target speaker.

    摘要翻译: 提供了系统和方法,用于在基于高斯混合模型(GMM)和其他矢量变换中执行软对齐。 软对齐可以将对齐概率分配给源和目标特征向量对。 然后可以使用矢量对和相关联的概率来计算转换函数,例如通过从联合向量计算GMM训练参数和对齐概率来创建用于将来自语音扬声器的语音声音转换为目标扬声器的语音转换功能。