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    System and method of dialog trajectory analysis
    5.
    发明授权
    System and method of dialog trajectory analysis 有权
    对话轨迹分析的系统和方法

    公开(公告)号：US08340971B1

    公开(公告)日：2012-12-25

    申请号：US11029320

    申请日：2005-01-05

    申请人： Alicia Abella ,  Jeremy Huntley Wright

    发明人： Alicia Abella ,  Jeremy Huntley Wright

    IPC分类号： G10L21/00

    CPC分类号： H04M3/493 ,  G06F17/20 ,  G10L13/02 ,  G10L15/1822 ,  G10L2015/225

    摘要： The invention comprises computer-readable media, methods and systems for performing a dialog analysis and using that analysis to release an updated spoken dialog system. The method embodiment of the invention comprises receiving data associated with dialogs, extracting turn by turn details of the dialog and generating from the extracted details an empirical call-flow representation of the dialog. The call data may be call-logs and user audio. The empirical call-flow representation may be a finite-state machine with nodes that represent call-states and the arcs between nodes represent user responses. Nodes may also represent sub-dialogs. The call-flow representation is presented graphically to a user for easier analysis and understanding. Significant changes in the dialog can be identified as hot-spots for improvement in the next release of the spoken dialog system.

    摘要翻译： 本发明包括用于执行对话分析并使用该分析来释放更新的口语对话系统的计算机可读介质，方法和系统。 本发明的方法实施例包括接收与对话相关联的数据，提取对话的转向细节，并从提取的细节生成对话的经验调用流表示。 呼叫数据可以是呼叫日志和用户音频。 经验调用流表示可以是具有表示呼叫状态的节点的有限状态机，并且节点之间的弧表示用户响应。 节点也可以表示子对话。 呼叫流表示以图形方式呈现给用户以便于分析和理解。 可以将对话框中的重大更改确定为下一个版本的对话系统的改进的热点。

    RECOGNIZING THE NUMERIC LANGUAGE IN NATURAL SPOKEN DIALOGUE
    6.
    发明申请
    RECOGNIZING THE NUMERIC LANGUAGE IN NATURAL SPOKEN DIALOGUE 有权
    识别自然语言对话中的数字语言

    公开(公告)号：US20120041763A1

    公开(公告)日：2012-02-16

    申请号：US13280884

    申请日：2011-10-25

    申请人： Mazin G. Rahim ,  Giuseppe Riccardi ,  Jeremy Huntley Wright ,  Bruce Melvin Buntschuh ,  Allen Louis Gorin

    发明人： Mazin G. Rahim ,  Giuseppe Riccardi ,  Jeremy Huntley Wright ,  Bruce Melvin Buntschuh ,  Allen Louis Gorin

    IPC分类号： G10L15/14

    CPC分类号： G10L15/142

    摘要： A system and a method are provided. A speech recognition processor receives unconstrained input speech and outputs a string of words. The speech recognition processor is based on a numeric language that represents a subset of a vocabulary. The subset includes a set of words identified as being for interpreting and understanding number strings. A numeric understanding processor contains classes of rules for converting the string of words into a sequence of digits. The speech recognition processor utilizes an acoustic model database. A validation database stores a set of valid sequences of digits. A string validation processor outputs validity information based on a comparison of a sequence of digits output by the numeric understanding processor with valid sequences of digits in the validation database.

    摘要翻译： 提供了一种系统和方法。 语音识别处理器接收无约束输入语音并输出一串字。 语音识别处理器基于代表词汇子集的数字语言。 该子集包括被识别为用于解释和理解数字串的一组单词。 数字理解处理器包含用于将字符串转换为数字序列的规则类型。 语音识别处理器利用声学模型数据库。 验证数据库存储一组有效的数字序列。 字符串验证处理器基于数字理解处理器输出的数字序列与验证数据库中的有效数字序列的比较来输出有效性信息。

    Recognizing the numeric language in natural spoken dialogue
    7.
    发明授权
    Recognizing the numeric language in natural spoken dialogue 有权
    认识到自然语言对话中的数字语言

    公开(公告)号：US08655658B2

    公开(公告)日：2014-02-18

    申请号：US13280884

    申请日：2011-10-25

    申请人： Mazin G. Rahim ,  Giuseppe Riccardi ,  Jeremy Huntley Wright ,  Bruce Melvin Buntschuh ,  Allen Louis Gorin

    发明人： Mazin G. Rahim ,  Giuseppe Riccardi ,  Jeremy Huntley Wright ,  Bruce Melvin Buntschuh ,  Allen Louis Gorin

    IPC分类号： G10L15/14 ,  G10L15/18

    CPC分类号： G10L15/142

    摘要： A system and a method are provided. A speech recognition processor receives unconstrained input speech and outputs a string of words. The speech recognition processor is based on a numeric language that represents a subset of a vocabulary. The subset includes a set of words identified as being for interpreting and understanding number strings. A numeric understanding processor contains classes of rules for converting the string of words into a sequence of digits. The speech recognition processor utilizes an acoustic model database. A validation database stores a set of valid sequences of digits. A string validation processor outputs validity information based on a comparison of a sequence of digits output by the numeric understanding processor with valid sequences of digits in the validation database.

    摘要翻译： 提供了一种系统和方法。 语音识别处理器接收无约束输入语音并输出一串字。 语音识别处理器基于代表词汇子集的数字语言。 该子集包括被识别为用于解释和理解数字串的一组单词。 数字理解处理器包含用于将字符串转换为数字序列的规则类型。 语音识别处理器利用声学模型数据库。 验证数据库存储一组有效的数字序列。 字符串验证处理器基于数字理解处理器输出的数字序列与验证数据库中的有效数字序列的比较来输出有效性信息。

    Method and system for automatic detecting morphemes in a task classification system using lattices
    8.
    发明授权
    Method and system for automatic detecting morphemes in a task classification system using lattices 有权
    在使用格子的任务分类系统中自动检测语素的方法和系统

    公开(公告)号：US07620548B2

    公开(公告)日：2009-11-17

    申请号：US11854720

    申请日：2007-09-13

    申请人： Allen Louis Gorin ,  Dijana Petrovska-Delacretaz ,  Giuseppe Riccardi ,  Jeremy Huntley Wright

    发明人： Allen Louis Gorin ,  Dijana Petrovska-Delacretaz ,  Giuseppe Riccardi ,  Jeremy Huntley Wright

    IPC分类号： G10L15/06

    CPC分类号： G10L15/08

    摘要： The invention concerns a method and system for detecting morphemes in a user's communication. The method may include recognizing a lattice of phone strings from the user's input communication, the lattice representing a distribution over the phone strings, and detecting morphemes in the user's input communication using the lattice. The morphemes may be acoustic and/or non-acoustic. The morphemes may represent any unit or sub-unit of communication including phones, diphones, phone-phrases, syllables, grammars, words, gestures, tablet strokes, body movements, mouse clicks, etc. The training speech may be verbal, non-verbal, a combination of verbal and non-verbal, or multimodal.

    摘要翻译： 本发明涉及用于检测用户通信中的语素的方法和系统。 该方法可以包括从用户的输入通信识别电话串的格子，格子表示电话串上的分布，以及使用网格检测用户的输入通信中的语素。 语素可以是声学和/或非声学的。 语素可以代表通信的任何单位或子单位，包括手机，双耳，电话短语，音节，语法，单词，手势，平板笔画，身体动作，鼠标点击等。训练语言可以是口头上，非言语的 ，口头和非言语或多式联运。

    Grammar fragment acquisition using syntactic and semantic clustering
    9.
    发明授权
    Grammar fragment acquisition using syntactic and semantic clustering 有权
    使用语法和语义聚类的语法片段获取

    公开(公告)号：US06173261B2

    公开(公告)日：2001-01-09

    申请号：US09217635

    申请日：1998-12-21

    申请人： Kazuhiro Arai ,  Allen Louis Gorin ,  Giuseppe Riccardi ,  Jeremy Huntley Wright

    发明人： Kazuhiro Arai ,  Allen Louis Gorin ,  Giuseppe Riccardi ,  Jeremy Huntley Wright

    IPC分类号： G10L1500

    CPC分类号： G10L15/063 ,  G06F17/274 ,  G10L15/193 ,  G10L2015/0631

    摘要： A method and apparatus are provided for automatically acquiring grammar fragments for recognizing and understanding fluently spoken language. Grammar fragments representing a set of syntactically and semantically similar phrases may be generated using three probability distributions: of succeeding words, of preceding words, and of associated call-types. The similarity between phrases may be measured by applying Kullback-Leibler distance to these three probability distributions. Phrases being close in all three distances may be clustered into a grammar fragment.

    摘要翻译： 提供了一种方法和装置，用于自动获取用于识别和理解流利的口语的语法片段。 可以使用三个概率分布来生成代表一组语法和语义上类似的短语的语法片段：前一个单词的后续单词和相关联的呼叫类型。 可以通过将Kullback-Leibler距离应用于这三个概率分布来测量短语之间的相似性。 所有三个距离中的短语可能被聚集成语法片段。