Method And Apparatus For Determining a User Age Range
    11.
    发明申请
    Method And Apparatus For Determining a User Age Range 有权
    确定用户年龄范围的方法和装置

    公开(公告)号:US20130013308A1

    公开(公告)日:2013-01-10

    申请号:US13634811

    申请日:2010-03-23

    IPC分类号: G10L15/00

    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。

    Method, apparatus and computer program product for providing adaptive language model scaling
    12.
    发明授权
    Method, apparatus and computer program product for providing adaptive language model scaling 失效
    用于提供自适应语言模型缩放的方法,装置和计算机程序产品

    公开(公告)号:US07716049B2

    公开(公告)日:2010-05-11

    申请号:US11427954

    申请日:2006-06-30

    申请人: Jilei Tian

    发明人: Jilei Tian

    IPC分类号: G10L15/04 G10L15/06 G10L15/18

    CPC分类号: G10L15/197

    摘要: An apparatus for providing adaptive language model scaling includes an adaptive scaling element and an interface element. The adaptive scaling element is configured to receive input speech comprising a sequence of spoken words and to determine a plurality of candidate sequences of text words in which each of the candidate sequences has a corresponding sentence score representing a probability that a candidate sequence matches the sequence of spoken words. Each corresponding sentence score is calculated using an adaptive scaling factor. The interface element is configured to receive a user input selecting one of the candidate sequences. The adaptive scaling element is further configured to estimate an objective function based on the user input and to modify the adaptive scaling factor based on the estimated objective function.

    摘要翻译: 用于提供自适应语言模型缩放的装置包括自适应缩放元素和接口元素。 自适应缩放元件被配置为接收包括一系列口语单词的输入语音,并且确定多个候选序列的文本单词,其中候选序列中的每一个具有相应的句子分数,表示候选序列与 口语 使用自适应缩放因子计算每个相应的句子得分。 接口元件被配置为接收选择候选序列之一的用户输入。 自适应缩放元件还被配置为基于用户输入来估计目标函数,并且基于估计的目标函数修改自适应缩放因子。

    SOFT ALIGNMENT IN GAUSSIAN MIXTURE MODEL BASED TRANSFORMATION
    13.
    发明申请
    SOFT ALIGNMENT IN GAUSSIAN MIXTURE MODEL BASED TRANSFORMATION 有权
    高斯混合模型基于变换的软对齐

    公开(公告)号:US20070256189A1

    公开(公告)日:2007-11-01

    申请号:US11380289

    申请日:2006-04-26

    IPC分类号: C12N15/82 C12N15/87

    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语音从源扬声器转换为目标扬声器的语音转换功能。

    Method, apparatus, mobile terminal and computer program product for providing data clustering and mode selection
    14.
    发明申请
    Method, apparatus, mobile terminal and computer program product for providing data clustering and mode selection 失效
    用于提供数据聚类和模式选择的方法,装置,移动终端和计算机程序产品

    公开(公告)号:US20070233625A1

    公开(公告)日:2007-10-04

    申请号:US11396831

    申请日:2006-04-03

    IPC分类号: G06F15/18

    摘要: An apparatus for providing data clustering and mode selection includes a training element and a transformation element. The training element is configured to receive a first training data set, a second training data set and auxiliary data extracted from the same material as the first training data set. The training element is also configured to train a classifier to group the first training data set into M clusters based on the auxiliary data and the first training data set and train M processing schemes corresponding to the M clusters for transforming the first training data set into the second training data set. The transformation element is in communication with the training element and is configured to cluster the second training data set into M clusters based on features associated with the second training data set.

    摘要翻译: 一种用于提供数据聚类和模式选择的装置包括训练元素和变换元素。 训练元件被配置为接收从与第一训练数据集相同的材料提取的第一训练数据集,第二训练数据集和辅助数据。 训练元素还被配置为训练分类器,以基于辅助数据和第一训练数据集以及对应于M个簇的训练M个处理方案将第一训练数据集合分组成M个群集,以将第一训练数据集变换为 第二训练数据集。 转换元件与训练元素通信,并且被配置为基于与第二训练数据集相关联的特征将第二训练数据集聚集成M个群集。

    System and method for optimizing run-time memory usage for a lexicon
    15.
    发明申请
    System and method for optimizing run-time memory usage for a lexicon 审中-公开
    用于优化词典的运行时内存使用的系统和方法

    公开(公告)号:US20060167680A1

    公开(公告)日:2006-07-27

    申请号:US11042445

    申请日:2005-01-25

    IPC分类号: G06F17/21

    摘要: A system and method of extracting information from a lexicon and using the information with a computer software program. Lexicon data is arranged for a particular language using Unicode values or other uniquely defined code values for each character of word of the language. A location array is then created for the lexicon data arranged by Unicode value or other uniquely defined code value. Upon a request to search for a word, words that have the same initial character as the searched-for word are identified using the location array. The identified words are then searched for an identified word that matches the searched-for word. Therefore, the amount of data loaded into run-time memory is minimized, and searches for a given word are completely more quickly than in conventional systems.

    摘要翻译: 从词汇提取信息并使用计算机软件程序使用信息的系统和方法。 针对特定语言的Lexicon数据使用Unicode值或其他唯一定义的代码值针对该语言的每个字符。 然后为由Unicode值或其他唯一定义的代码值排列的词典数据创建位置数组。 在搜索单词的请求时,使用位置数组来识别具有与搜索词相同的初始字符的单词。 然后搜索所识别的单词与搜索词匹配的识别词。 因此,加载到运行时存储器中的数据量最小化,并且搜索给定单词比在常规系统中更快。

    Method and apparatus for determining a user age range
    19.
    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
    20.
    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。