Compound word splitting for directory assistance services
    31.
    发明申请
    Compound word splitting for directory assistance services 有权
    用于目录服务的复合词分割

    公开(公告)号:US20080147381A1

    公开(公告)日:2008-06-19

    申请号:US11638071

    申请日:2006-12-13

    IPC分类号: G06F17/27

    CPC分类号: G06F17/2755

    摘要: A computer-implemented method is disclosed for improving the accuracy of a directory assistance system. The method includes constructing a prefix tree based on a collection of alphabetically organized words. The prefix tree is utilized as a basis for generating splitting rules for a compound word included in an index associated with the directory assistance system. A language model check and a pronunciation check are conducted in order to determine which of the generated splitting rules are mostly likely correct. The compound word is split into word components based on the most likely correct rule or rules. The word components are incorporated into a data set associated with the directory assistance system, such as into a recognition grammar and/or the index.

    摘要翻译: 公开了一种用于提高目录辅助系统的准确性的计算机实现的方法。 该方法包括基于字母组织的字的集合构建前缀树。 前缀树被用作为包括在与目录辅助系统相关联的索引中的复合词生成分割规则的基础。 进行语言模型检查和发音检查,以确定哪些生成的分裂规则最可能是正确的。 复合词根据最可能的正确规则或规则分为单词组成部分。 单词组件被合并到与目录辅助系统相关联的数据集中,诸如识别语法和/或索引。

    Detecting an answering machine using speech recognition
    32.
    发明申请
    Detecting an answering machine using speech recognition 失效
    使用语音识别检测应答机

    公开(公告)号:US20080015846A1

    公开(公告)日:2008-01-17

    申请号:US11485011

    申请日:2006-07-12

    IPC分类号: G10L19/00

    摘要: An answering machine detection module is used to determine whether a call recipient is an actual person or an answering machine. The answering machine detection module includes a speech recognizer and a call analysis module. The speech recognizer receives an audible response of the call recipient to a call. The speech recognizer processes the audible response and provides an output indicative of recognized speech. The call analysis module processes the output of the speech recognizer to generate an output indicative of whether the call recipient is a person or an answering machine.

    摘要翻译: 应答机检测模块用于确定呼叫接收者是实际的人还是应答机。 应答机检测模块包括语音识别器和呼叫分析模块。 语音识别器接收呼叫接收者对呼叫的可听见的响应。 语音识别器处理可听见的响应并提供表示识别的语音的输出。 呼叫分析模块处理语音识别器的输出以产生指示呼叫接收者是个人还是应答机的输出。

    Method and apparatus for the recognition of spelled spoken words
    33.
    发明授权
    Method and apparatus for the recognition of spelled spoken words 有权
    用于识别拼写的口语的方法和装置

    公开(公告)号:US06694296B1

    公开(公告)日:2004-02-17

    申请号:US09706375

    申请日:2000-11-03

    IPC分类号: G10L1528

    CPC分类号: G10L15/197 G10L2015/086

    摘要: The speech recognizer includes a dictation language model providing a dictation model output indicative of a likely word sequence recognized based on an input utterance. A spelling language model provides a spelling model output indicative of a likely letter sequence recognized based on the input utterance. An acoustic model provides an acoustic model output indicative of a likely speech unit recognized based on the input utterances. A speech recognition component is configured to access the dictation language model, the spelling language model and the acoustic model. The speech recognition component weights the dictation model output and the spelling model output in calculating likely recognized speech based on the input utterance. The speech recognizer can also be configured to confine spelled speech to an active lexicon.

    摘要翻译: 语音识别器包括提供语言模型输出的听写语言模型,所述听写模型输出指示基于输入语音识别的可能的单词序列。 拼写语言模型提供了拼写模型输出,其指示基于输入话语识别的可能字母序列。 声学模型提供指示基于输入的话语识别的可能语音单元的声学模型输出。 语音识别组件被配置为访问听写语言模型,拼写语言模型和声学模型。 语音识别组件基于输入的话语来计算听写模型输出和拼写模型输出,以计算可能识别的语音。 语音识别器还可以被配置为将拼写的语音限制在活动词典中。

    Spoken Utterance Classification Training for a Speech Recognition System
    37.
    发明申请
    Spoken Utterance Classification Training for a Speech Recognition System 有权
    语音识别系统的语音分类训练

    公开(公告)号:US20130159000A1

    公开(公告)日:2013-06-20

    申请号:US13326659

    申请日:2011-12-15

    IPC分类号: G10L15/04

    CPC分类号: G10L15/1822

    摘要: The subject disclosure is directed towards training a classifier for spoken utterances without relying on human-assistance. The spoken utterances may be related to a voice menu program for which a speech comprehension component interprets the spoken utterances into voice menu options. The speech comprehension component provides confirmations to some of the spoken utterances in order to accurately assign a semantic label. For each spoken utterance with a denied confirmation, the speech comprehension component automatically generates a pseudo-semantic label that is consistent with the denied confirmation and selected from a set of potential semantic labels and updates a classification model associated with the classifier using the pseudo-semantic label.

    摘要翻译: 主题披露旨在培训用于讲话的分类器,而不依赖人力援助。 讲话话语可能与语音菜单程序相关,语音理解组件将语音话语解释成语音菜单选项。 语音理解组件为一些语音语音提供了确认,以便准确地分配语义标签。 对于每个具有拒绝确认的口语说话,语音理解组件自动生成与拒绝确认一致的伪语义标签,并从一组潜在语义标签中选择,并使用伪语义更新与分类器相关联的分类模型 标签。

    Automatic reading tutoring using dynamically built language model
    38.
    发明授权
    Automatic reading tutoring using dynamically built language model 有权
    使用动态内置语言模型进行自动阅读辅导

    公开(公告)号:US08306822B2

    公开(公告)日:2012-11-06

    申请号:US11900274

    申请日:2007-09-11

    IPC分类号: G10L15/22

    摘要: A method of providing automatic reading tutoring is disclosed. The method includes retrieving a textual indication of a story from a data store and creating a language model including constructing a target context free grammar indicative of a first portion of the story. A first acoustic input is received and a speech recognition engine is employed to recognize the first acoustic input. An output of the speech recognition engine is compared to the language model and a signal indicative of whether the output of the speech recognition matches at least a portion of the target context free grammar is provided.

    摘要翻译: 公开了提供自动阅读辅导的方法。 该方法包括从数据存储中检索故事的文本指示并创建包括构建指示故事的第一部分的目标上下文自由语法的语言模型。 接收到第一声输入,并且采用语音识别引擎来识别第一声输入。 将语音识别引擎的输出与语言模型进行比较,并且提供指示语音识别的输出是否与目标语境自由语法的至少一部分匹配的信号。

    Adapting a language model to accommodate inputs not found in a directory assistance listing
    39.
    发明授权
    Adapting a language model to accommodate inputs not found in a directory assistance listing 有权
    适应语言模型以适应在目录帮助列表中找不到的输入

    公开(公告)号:US08285542B2

    公开(公告)日:2012-10-09

    申请号:US13027921

    申请日:2011-02-15

    IPC分类号: G06F17/21

    CPC分类号: G10L15/063 G10L15/197

    摘要: A statistical language model is trained for use in a directory assistance system using the data in a directory assistance listing corpus. Calculations are made to determine how important words in the corpus are in distinguishing a listing from other listings, and how likely words are to be omitted or added by a user. The language model is trained using these calculations.

    摘要翻译: 训练统计语言模型,以使用目录援助列表语料库中的数据在目录辅助系统中使用。 进行计算,以确定语料库中的单词在区分列表和其他列表中的重要程度以及用户可能忽略或添加单词的可能性。 使用这些计算训练语言模型。

    Confidence measure generation for speech related searching
    40.
    发明授权
    Confidence measure generation for speech related searching 有权
    语音相关搜索的置信度生成

    公开(公告)号:US08165877B2

    公开(公告)日:2012-04-24

    申请号:US11888928

    申请日:2007-08-03

    IPC分类号: G10L15/00

    CPC分类号: G10L15/1822

    摘要: A voice search system has a speech recognizer, a search component, and a dialog manager. A confidence measure generator receives speech recognition features from the speech recognizer, search features from the search component, and dialog features from the dialog manager, and calculates an overall confidence measure for voice search results based upon the features received. The invention can be extended to include the generation of additional features, based on those received from the individual components of the voice search system.

    摘要翻译: 语音搜索系统具有语音识别器,搜索组件和对话管理器。 置信度生成器从语音识别器接收语音识别特征,从搜索组件搜索特征,以及来自对话管理器的对话特征,并且基于所接收的特征,计算语音搜索结果的整体置信度度量。 本发明可以扩展到基于从语音搜索系统的各个组件接收到的附加特征的产生。