Grapheme-to-phoneme conversion using acoustic data
    61.
    发明授权
    Grapheme-to-phoneme conversion using acoustic data 有权
    使用声学数据的语音对音素转换

    公开(公告)号:US07991615B2

    公开(公告)日:2011-08-02

    申请号:US11952267

    申请日:2007-12-07

    IPC分类号: G10L15/04

    摘要: Described is the use of acoustic data to improve grapheme-to-phoneme conversion for speech recognition, such as to more accurately recognize spoken names in a voice-dialing system. A joint model of acoustics and graphonemes (acoustic data, phonemes sequences, grapheme sequences and an alignment between phoneme sequences and grapheme sequences) is described, as is retraining by maximum likelihood training and discriminative training in adapting graphoneme model parameters using acoustic data. Also described is the unsupervised collection of grapheme labels for received acoustic data, thereby automatically obtaining a substantial number of actual samples that may be used in retraining. Speech input that does not meet a confidence threshold may be filtered out so as to not be used by the retrained model.

    摘要翻译: 描述了使用声学数据来改进用于语音识别的字形到音素转换,例如更准确地识别语音拨号系统中的语音名称。 描述了声学和图形(声学数据,音素序列,字形序列以及音素序列和图形序列之间的对齐)的联合模型,正如通过使用声学数据适应图形模型参数的最大似然训练和鉴别训练来重新训练。 还描述了用于接收的声学数据的无监督的字母标签集合,从而自动获得可用于再培训的大量实际样本。 不满足置信阈值的语音输入可以被滤除,以便不被再培训的模型使用。

    ACQUISITION OF SEMANTIC CLASS LEXICONS FOR QUERY TAGGING
    62.
    发明申请
    ACQUISITION OF SEMANTIC CLASS LEXICONS FOR QUERY TAGGING 有权
    收集用于查询标记的语义类别列表

    公开(公告)号:US20100268725A1

    公开(公告)日:2010-10-21

    申请号:US12426370

    申请日:2009-04-20

    IPC分类号: G06F17/30 G06F17/27

    摘要: A user's search experience may be enhanced by providing additional content based upon an understanding of the user's intent. Query tagging, the assigning of semantic labels to terms within a query, is one technique that may be utilized to determine the context of a user's search query. Accordingly, as provided herein, a query tagging model may be updated using one or more stratified lexicons. A list data structure (e.g., lists of phrases obtained from web pages) and seed distribution data (e.g., pre-labeled probability data) may be used by a graph learning technique to obtain an expanded set of phrases and their respective probabilities of corresponding with particular lexicons (e.g., semantic class lexicons). The expanded set of phrases may be used to group phrases into stratified lexicons. The stratified lexicons may be used as features for updating and/or executing the query tagging model.

    摘要翻译: 可以通过基于对用户意图的理解来提供附加内容来增强用户的搜索体验。 查询标记,将语义标签分配给查询中的术语,是可用于确定用户搜索查询的上下文的一种技术。 因此,如本文所提供的,可以使用一个或多个分层词典来更新查询标签模型。 列表数据结构(例如,从网页获得的短语的列表)和种子分布数据(例如,预先标记的概率数据)可以通过图形学习技术来使用以获得扩展的短语集合及其相应的概率 特定词典(例如语义类词典)。 扩展的短语组可用于将短语分组成分层词典。 分层词汇可以用作更新和/或执行查询标签模型的特征。

    GENERATING IMPLICIT LABELS AND TRAINING A TAGGING MODEL USING SUCH LABELS
    63.
    发明申请
    GENERATING IMPLICIT LABELS AND TRAINING A TAGGING MODEL USING SUCH LABELS 有权
    生成隐式标签并使用这样的标签来训练标签模型

    公开(公告)号:US20100256969A1

    公开(公告)日:2010-10-07

    申请号:US12419336

    申请日:2009-04-07

    申请人: Xiao Li Ye-Yi Wang

    发明人: Xiao Li Ye-Yi Wang

    IPC分类号: G06F17/50

    CPC分类号: G06K9/6296

    摘要: A training module is described for training a conditional random field (CRF) tagging model. The training module trains the tagging model based on an explicitly-labeled training set and an implicitly-labeled training set. The explicitly-labeled training set includes explicit labels that are manually selected via human annotation, while the implicitly-labeled training set includes implicit labels that are generated in an unsupervised manner. In one approach, the training module can train the tagging model by treating the implicit labels as non-binding evidence that has a bearing on values of hidden state sequence variables. In another approach, the training module can treat the implicit labels as binding or hard evidence. A labeling system is also described for providing the implicit labels.

    摘要翻译: 描述训练模块用于训练条件随机场(CRF)标记模型。 培训模块基于明确标记的训练集和隐式标记的训练集来训练标记模型。 明确标记的训练集包括通过人工注释手动选择的显式标签,而隐含标记的训练集包括以无监督方式生成的隐式标签。 在一种方法中,训练模块可以通过将隐式标签视为与隐含状态序列变量的值有关的非约束证据来训练标记模型。 在另一种方法中,培训模块可以将隐含的标签视为具有约束力或硬性证据。 还描述了用于提供隐式标签的标签系统。

    STRUCTURED MODELS OF REPITITION FOR SPEECH RECOGNITION
    64.
    发明申请
    STRUCTURED MODELS OF REPITITION FOR SPEECH RECOGNITION 有权
    用于语音识别的结构化复制模型

    公开(公告)号:US20100076765A1

    公开(公告)日:2010-03-25

    申请号:US12233826

    申请日:2008-09-19

    IPC分类号: G10L15/00

    CPC分类号: G10L15/1822

    摘要: Described is a technology by which a structured model of repetition is used to determine the words spoken by a user, and/or a corresponding database entry, based in part on a prior utterance. For a repeated utterance, a joint probability analysis is performed on (at least some of) the corresponding word sequences as recognized by one or more recognizers) and associated acoustic data. For example, a generative probabilistic model, or a maximum entropy model may be used in the analysis. The second utterance may be a repetition of the first utterance using the exact words, or another structural transformation thereof relative to the first utterance, such as an extension that adds one or more words, a truncation that removes one or more words, or a whole or partial spelling of one or more words.

    摘要翻译: 描述了一种技术,通过该技术,部分地基于先前的话语,使用结构化重复模型来确定用户说出的单词和/或相应的数据库条目。 对于重复的话语,对由一个或多个识别器识别的相应字序列(和至少一些)和相关联的声学数据进行联合概率分析。 例如,可以在分析中使用生成概率模型或最大熵模型。 第二个发音可以是使用精确的单词或相对于第一个发音的其他结构变换的第一个发音的重复,例如添加一个或多个单词的扩展,删除一个或多个单词的截断或整个 或一个或多个单词的部分拼写。

    Dynamic edge bead removal
    65.
    发明授权
    Dynamic edge bead removal 有权
    动态边缘珠去除

    公开(公告)号:US07183181B2

    公开(公告)日:2007-02-27

    申请号:US10950839

    申请日:2004-09-27

    IPC分类号: H01L21/20 H01L21/36

    CPC分类号: H01L21/02087 H01L21/6708

    摘要: A method of removing an edge bead of a coated material on a substrate. The substrate is rotated, and a fluid that solvates the coated material is delivered. The delivery of the fluid is directed radially inward on the substrate at a rate of between about three millimeters per second and about twenty millimeters per second until a desired innermost fluid delivery position on the substrate is attained. Immediately upon attaining the desired innermost fluid delivery position on the substrate, the delivery of the fluid is directed radially outward off the substrate at a rate of more than zero millimeters per second and less than about four millimeters per second. The rotation of the substrate is ceased.

    摘要翻译: 一种去除衬底上涂覆材料的边缘珠的方法。 旋转衬底,并且输送溶剂化涂覆材料的流体。 流体的输送以约3毫米每秒和约20毫米/秒的速率径向向内指向基底上,直到达到基底上所需的最内流体输送位置。 在基板上达到理想的最内流体输送位置之后,流体的输送立即以大于零毫米/秒的速度从基板径向向外指向,并且小于约4毫米/秒。 衬底的旋转停止。

    Candle with internal illumination
    66.
    发明申请
    Candle with internal illumination 失效
    蜡烛内部照明

    公开(公告)号:US20050110417A1

    公开(公告)日:2005-05-26

    申请号:US10926525

    申请日:2004-08-26

    摘要: A candle with a decorative light element is provided. A light emitting device is disposed within the main body of the candle, and a sensor connected to the light emitting device detects the presence of a flame on the wick. When a flame is detected by the sensor, the light emitting device is activated. The portion of the candle from which the wick projects is preferably substantially opaque, and the portion of the candle in which the light emitting device is disposed is preferably at least partially light transmissible or translucent, so that the glow of the flame does not interfere with the glow of the light emitting device within the candle.

    摘要翻译: 提供带有装饰灯元素的蜡烛。 发光装置设置在蜡烛的主体内,连接到发光装置的传感器检测到灯芯上存在火焰。 当传感器检测到火焰时,发光装置被激活。 蜡烛投射的蜡烛的部分优选地基本上是不透明的,并且其中设置有发光装置的蜡烛的部分优选地至少部分地是透光的或半透明的,使得火焰的辉光不会干扰 蜡烛内的发光装置的辉光。

    Acquisition of semantic class lexicons for query tagging
    69.
    发明授权
    Acquisition of semantic class lexicons for query tagging 有权
    获取用于查询标记的语义类词典

    公开(公告)号:US09336299B2

    公开(公告)日:2016-05-10

    申请号:US12426370

    申请日:2009-04-20

    IPC分类号: G06F17/30 G06F17/27

    摘要: A user's search experience may be enhanced by providing additional content based upon an understanding of the user's intent. Query tagging, the assigning of semantic labels to terms within a query, is one technique that may be utilized to determine the context of a user's search query. Accordingly, as provided herein, a query tagging model may be updated using one or more stratified lexicons. A list data structure (e.g., lists of phrases obtained from web pages) and seed distribution data (e.g., pre-labeled probability data) may be used by a graph learning technique to obtain an expanded set of phrases and their respective probabilities of corresponding with particular lexicons (e.g., semantic class lexicons). The expanded set of phrases may be used to group phrases into stratified lexicons. The stratified lexicons may be used as features for updating and/or executing the query tagging model.

    摘要翻译: 可以通过基于对用户意图的理解来提供附加内容来增强用户的搜索体验。 查询标记,将语义标签分配给查询中的术语,是可用于确定用户搜索查询的上下文的一种技术。 因此,如本文所提供的,可以使用一个或多个分层词典来更新查询标签模型。 列表数据结构(例如,从网页获得的短语的列表)和种子分布数据(例如,预先标记的概率数据)可以通过图形学习技术来使用以获得扩展的短语集合及其相应的概率 特定词典(例如语义类词典)。 扩展的短语组可用于将短语分组成分层词典。 分层词汇可以用作更新和/或执行查询标签模型的特征。