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    • 12. 发明申请
    • SYSTEM AND METHOD FOR AN ENHANCED SHOPPING EXPERIENCE
    • 用于增强购物体验的系统和方法
    • US20120290435A1
    • 2012-11-15
    • US13554578
    • 2012-07-20
    • Douglas Keith TrotmanJay WilponMazin GilbertGiuseppe Di Fabbrizio
    • Douglas Keith TrotmanJay WilponMazin GilbertGiuseppe Di Fabbrizio
    • G06Q30/00
    • G06Q30/02G06Q30/0601G06Q30/0643
    • Disclosed herein are systems, methods, and computer readable-media for creating a virtual shopping area. The method includes receiving a query from a user and an automated input specific to the user from a computing device, generating a list of merchants based on the query and the automated input, generating a virtual shopping area from the list of merchants and based on one or more constraints, and displaying the virtual shopping area on the computing device. One optional step is presenting to the user an interface to purchase query-related items from merchants in the virtual shopping area. The method optionally includes receiving an indication of intent to purchase an item from the user, displaying an image of the item to the user, and dynamically updating the displayed image of the item as the user specifies item-specific details. The list of merchants can be restricted to merchants geographically close to the user.
    • 这里公开了用于创建虚拟购物区域的系统,方法和计算机可读介质。 该方法包括从计算设备接收来自用户的查询和用户特有的自动输入,基于查询和自动输入生成商家列表,从商家列表中生成虚拟购物区域,并基于一个 或更多的约束,以及在计算设备上显示虚拟购物区域。 一个可选步骤向用户呈现从虚拟购物区域中的商家购买查询相关项目的界面。 该方法可选地包括从用户接收用于购买项目的意图的指示,向用户显示该项目的图像,并且在用户指定项目特定细节时动态地更新该项目的显示图像。 商家列表可以限于地理位置靠近用户的商家。
    • 13. 发明授权
    • System and method for increasing accuracy of searches based on communication network
    • 基于通信网络提高搜索精度的系统和方法
    • US08170866B2
    • 2012-05-01
    • US13164347
    • 2011-06-20
    • Mazin GilbertChristopher Volinsky
    • Mazin GilbertChristopher Volinsky
    • G10L17/20
    • G10L15/193G10L15/065G10L2015/228
    • Disclosed are systems, methods and computer-readable media for using a local communication network to generate a speech model. The method includes retrieving for an individual a list of numbers in a calling history, identifying a local neighborhood associated with each number in the calling history, truncating the local neighborhood associated with each number based on the at least one parameter, retrieving a local communication network associated with each number in the calling history and each phone number in the local neighborhood, and creating a language model for the individual based on the retrieved local communication network. The generated language model may be used for improved automatic speech recognition for audible searches as well as other modules in a spoken dialog system.
    • 公开了用于使用本地通信网络生成语音模型的系统,方法和计算机可读介质。 该方法包括检索个人在呼叫历史中的号码列表,识别与呼叫历史中的每个号码相关联的本地邻域,基于该至少一个参数截断与每个号码相关联的本地邻域,检索本地通信网络 与呼叫历史中的每个号码和本地邻域中的每个电话号码相关联,以及基于所检索的本地通信网络为个人创建语言模型。 生成的语言模型可以用于改善声音搜索的自动语音识别以及口语对话系统中的其他模块。
    • 14. 发明授权
    • System and method for improving robustness of speech recognition using vocal tract length normalization codebooks
    • 使用声道长度归一化码本提高语音识别鲁棒性的系统和方法
    • US08160875B2
    • 2012-04-17
    • US12869039
    • 2010-08-26
    • Mazin Gilbert
    • Mazin Gilbert
    • G10L15/06
    • G10L15/07
    • Disclosed are systems, methods, and computer readable media for performing speech recognition. The method embodiment comprises selecting a codebook from a plurality of codebooks with a minimal acoustic distance to a received speech sample, the plurality of codebooks generated by a process of (a) computing a vocal tract length for a each of a plurality of speakers, (b) for each of the plurality of speakers, clustering speech vectors, and (c) creating a codebook for each speaker, the codebook containing entries for the respective speaker's vocal tract length, speech vectors, and an optional vector weight for each speech vector, (2) applying the respective vocal tract length associated with the selected codebook to normalize the received speech sample for use in speech recognition, and (3) recognizing the received speech sample based on the respective vocal tract length associated with the selected codebook.
    • 公开了用于执行语音识别的系统,方法和计算机可读介质。 方法实施例包括从具有对接收到的语音样本的最小声距离的多个码本中选择码本,所述多个码本通过(a)计算多个扬声器中的每一个的声道长度的处理而生成( b)对于所述多个扬声器中的每一个,聚类语音向量,以及(c)为每个说话者创建码本,所述码本包含用于每个语音向量的相应说话者声道长度,语音向量和可选矢量权重的条目, (2)应用与所选码本相关联的相应声道长度,以规范化用于语音识别的接收到的语音样本,以及(3)基于与所选码本相关联的相应声道长度来识别所接收的语音样本。
    • 16. 发明授权
    • Automated call router for business directory using the world wide web
    • 使用万维网的企业目录的自动呼叫路由器
    • US07986771B2
    • 2011-07-26
    • US11194853
    • 2005-08-01
    • Junlan FengMazin GilbertNarendra Gupta
    • Junlan FengMazin GilbertNarendra Gupta
    • H04M11/00H04M1/64H04M1/00
    • H04M7/0015H04M7/003
    • The embodiments include a system, a computer readable medium, and a method for establishing a communication connection after searching the World Wide Web for relevant phone information. The system can include a first communication device for forming at least one communication connection between the first communication device and a second communication device, search means adapted to accept a query, access means adapted to (i) search and identify relevant phone number information using the query (ii) create at least one icon to link the first communication device to a relevant phone number included in the relevant phone number information identified by the query, and (iii) reformulate the query if no relevant phone numbers are identified during the search. The system also includes click-to-dial means adapted to establish at least one communication connection from the first communication device to the second communication device.
    • 这些实施例包括系统,计算机可读介质和在搜索万维网之后建立通信连接以获得相关电话信息的方法。 该系统可以包括用于在第一通信设备和第二通信设备之间形成至少一个通信连接的第一通信设备,适于接受查询的搜索设备,适于(i)使用 查询(ii)创建至少一个图标以将第一通信设备链接到由查询识别的相关电话号码信息中包括的相关电话号码,以及(iii)如果在搜索期间没有识别出相关的电话号码,则重新组织查询。 该系统还包括适于建立从第一通信设备到第二通信设备的至少一个通信连接的点击拨号装置。
    • 17. 发明授权
    • System and method for increasing accuracy of searches based on communities of interest
    • 基于感兴趣的群体提高搜索精度的系统和方法
    • US07966171B2
    • 2011-06-21
    • US11931830
    • 2007-10-31
    • Mazin GilbertChristopher Volinsky
    • Mazin GilbertChristopher Volinsky
    • G06F17/20
    • G10L15/193G10L15/065G10L2015/228
    • Disclosed are systems, methods and computer-readable media for using a local communication network to generate a speech model. The method includes retrieving for an individual a list of numbers in a calling history, identifying a local neighborhood associated with each number in the calling history, truncating the local neighborhood associated with each number based on the at least one parameter, retrieving a local communication network associated with each number in the calling history and each phone number in the local neighborhood, and creating a language model for the individual based on the retrieved local communication network. The generated language model may be used for improved automatic speech recognition for audible searches as well as other modules in a spoken dialog system.
    • 公开了用于使用本地通信网络生成语音模型的系统,方法和计算机可读介质。 该方法包括检索个人在呼叫历史中的号码列表,识别与呼叫历史中的每个号码相关联的本地邻域,基于该至少一个参数截断与每个号码相关联的本地邻域,检索本地通信网络 与呼叫历史中的每个号码和本地邻域中的每个电话号码相关联,以及基于所检索的本地通信网络为个人创建语言模型。 生成的语言模型可以用于改善声音搜索的自动语音识别以及口语对话系统中的其他模块。
    • 18. 发明授权
    • Method and apparatus for detecting and extracting information from dynamically generated web pages
    • 用于从动态生成的网页中检测和提取信息的方法和装置
    • US07877396B1
    • 2011-01-25
    • US11546967
    • 2006-10-12
    • Srinivas BangaloreJunlan FengMazin Gilbert
    • Srinivas BangaloreJunlan FengMazin Gilbert
    • G06F17/30
    • G06F17/3089
    • A method and apparatus for automatically detecting and extracting information from dynamically generated web pages are disclosed. For example, the present method stores user provided information that is entered into a form interface of a web page for a first query. Responsive to the first query, a first response web page is received and stored. The present method then automatically generates a second query to acquire a second response web page that is responsive to the second query. Finally, the present method compares the first response web page and the second response web page. In one embodiment, the present invention extracts information that is dissimilar between the first response web page and the second response web page. This extracted information is deemed to be the pertinent information requested by the user.
    • 公开了一种用于从动态生成的网页自动检测和提取信息的方法和装置。 例如,本方法将用户提供的信息存储到用于第一查询的网页的表单界面中。 响应于第一个查询,收到并存储第一个响应网页。 本方法然后自动生成第二查询以获取响应于第二查询的第二响应网页。 最后,本方法比较第一响应网页和第二响应网页。 在一个实施例中,本发明提取在第一响应网页和第二响应网页之间不相似的信息。 该提取的信息被认为是用户请求的相关信息。
    • 19. 发明申请
    • SYSTEM AND METHOD FOR DISCRIMINATIVE PRONUNCIATION MODELING FOR VOICE SEARCH
    • 用于语音搜索的分辨率发音建模的系统和方法
    • US20100125457A1
    • 2010-05-20
    • US12274025
    • 2008-11-19
    • Mazin GilbertAlistair D. ConkieAndrej Ljolje
    • Mazin GilbertAlistair D. ConkieAndrej Ljolje
    • G10L15/04
    • G10L15/063G10L2015/025
    • Disclosed herein are systems, computer-implemented methods, and computer-readable media for speech recognition. The method includes receiving speech utterances, assigning a pronunciation weight to each unit of speech in the speech utterances, each respective pronunciation weight being normalized at a unit of speech level to sum to 1, for each received speech utterance, optimizing the pronunciation weight by (1) identifying word and phone alignments and corresponding likelihood scores, and (2) discriminatively adapting the pronunciation weight to minimize classification errors, and recognizing additional received speech utterances using the optimized pronunciation weights. A unit of speech can be a sentence, a word, a context-dependent phone, a context-independent phone, or a syllable. The method can further include discriminatively adapting pronunciation weights based on an objective function. The objective function can be maximum mutual information (MMI), maximum likelihood (MLE) training, minimum classification error (MCE) training, or other functions known to those of skill in the art. Speech utterances can be names. The speech utterances can be received as part of a multimodal search or input. The step of discriminatively adapting pronunciation weights can further include stochastically modeling pronunciations.
    • 本文公开了用于语音识别的系统,计算机实现的方法和计算机可读介质。 该方法包括接收语音话语,在语音话语中为每个语音单元分配发音权重,将每个相应的发音权重以语音级别为单位归一化为1,对于每个接收到的语音话语,通过( 1)识别词和电话对齐和相应的可能性分数,以及(2)歧视地调整发音权重以最小化分类错误,以及使用优化的发音权重来识别附加的接收到的语音话语。 语音单位可以是句子,单词,上下文相关的电话,与上下文无关的电话或音节。 该方法还可以包括基于目标函数的歧视地适应发音权重。 目标函数可以是本领域技术人员已知的最大相互信息(MMI),最大似然(MLE)训练,最小分类误差(MCE)训练或其他功能。 言语言可以是名字。 可以作为多模态搜索或输入的一部分接收演讲话语。 歧视性地适应发音权重的步骤还可以包括随机建模发音。