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41. 发明授权

US08812590B2 Asset sharing within an enterprise using a peer-to-peer network 有权
标题翻译：使用对等网络的企业内的资产共享
公开(公告)号：US08812590B2
公开(公告)日：2014-08-19
申请号：US13097203
申请日：2011-04-29
申请人： Vito Losacco , Andrzej Nazaruk , Mahesh Viswanathan , Maciej Wielgus
发明人： Vito Losacco , Andrzej Nazaruk , Mahesh Viswanathan , Maciej Wielgus
IPC分类号： G06F15/16
CPC分类号： H04L67/1078 , G06F17/30206
摘要： A method and system for sharing an asset in a peer-to-peer network. Meta data and a source node identification are received. The meta data specifies properties and content of the asset to be shared by the source node. The received source node identification and the meta data are locally stored as a couple in a catalog. Subsequently, content specifying the asset and a request to search for and retrieve the asset based on the content is received. The locally stored catalog is loaded and searched to detect the couple that includes the source node identification and meta data, where the received content matches the meta data. The source node is identified based on the detected couple. A request is sent to the source node to retrieve and share the asset, and in response, the asset is received.
摘要翻译：用于在对等网络中共享资产的方法和系统。接收元数据和源节点标识。元数据指定要由源节点共享的资产的属性和内容。接收到的源节点标识和元数据在本地存储为目录中的一对。随后，接收指定资产的内容和基于内容搜索和检索资产的请求。加载和搜索本地存储的目录以检测包括源节点标识和元数据的对，其中所接收的内容与元数据匹配。源节点基于检测到的对来识别。向源节点发送请求以检索和共享资产，作为响应，收到该资产。

42. 发明授权

US08781832B2 Methods and apparatus for buffering data for use in accordance with a speech recognition system 有权
标题翻译：用于根据语音识别系统缓冲数据的方法和装置
公开(公告)号：US08781832B2
公开(公告)日：2014-07-15
申请号：US12056001
申请日：2008-03-26
申请人： Liam D. Comerford , David Carl Frank , Burn L. Lewis , Leonid Rachevksy , Mahesh Viswanathan
发明人： Liam D. Comerford , David Carl Frank , Burn L. Lewis , Leonid Rachevksy , Mahesh Viswanathan
IPC分类号： G10L15/04
CPC分类号： G10L15/28
摘要： Techniques are disclosed for overcoming errors in speech recognition systems. For example, a technique for processing acoustic data in accordance with a speech recognition system comprises the following steps/operations. Acoustic data is obtained in association with the speech recognition system. The acoustic data is recorded using a combination of a first buffer area and a second buffer area, such that the recording of the acoustic data using the combination of the two buffer areas at least substantially minimizes one or more truncation errors associated with operation of the speech recognition system.
摘要翻译：公开了用于克服语音识别系统中的错误的技术。例如，根据语音识别系统处理声学数据的技术包括以下步骤/操作。与语音识别系统相关联地获得声学数据。使用第一缓冲区域和第二缓冲区域的组合记录声学数据，使得使用两个缓冲区域的组合的声学数据的记录至少基本上最小化与语音操作相关联的一个或多个截断误差识别系统。

43. 发明授权

US08560889B2 Adding scalability and fault tolerance to generic finite state machine frameworks for use in automated incident management of cloud computing infrastructures 失效
公开(公告)号：US08560889B2
公开(公告)日：2013-10-15
申请号：US13603879
申请日：2012-09-05
申请人： Michael M. Behrendt , Rafah A. Hosn , Ruchi Mahindru , Harigovind V. Ramasamy , Soumitra Sarkar , Mahesh Viswanathan , Norbert G. Vogl
发明人： Michael M. Behrendt , Rafah A. Hosn , Ruchi Mahindru , Harigovind V. Ramasamy , Soumitra Sarkar , Mahesh Viswanathan , Norbert G. Vogl
IPC分类号： G06F11/00
CPC分类号： G06F11/203 , G06F9/542 , G06F11/2041 , G06F11/2043 , G06F2201/815
摘要： A scalable and fault tolerant finite state machine engine, for example, for use in an automated incident management system, logs or records data in persistent storage at different points or levels during various internal processing of an event associated with an information technology element, and action taken associated with the event, by executing a finite state machine instance that encodes policies for handling incidents on such types of information technology elements. In the event that the finite state machine engine is shutdown during processing, the finite state machine engine is able to pick up from where it left off when it was shutdown, for each abnormally terminated finite state machine instance, by using the data logged in the persistent storage and determining a point of processing from where it should continue its execution.

44. 发明申请

US20130268488A1 LARGE VOLUME DATA REPLICATION USING JOB REPLICATION 失效
标题翻译：使用作业复制的大量数据复制
公开(公告)号：US20130268488A1
公开(公告)日：2013-10-10
申请号：US13442947
申请日：2012-04-10
申请人： Waldemar Jackiewicz , Vito Losacco , Andrzej Nazaruk , Mahesh Viswanathan , Maciej Wielgus
发明人： Waldemar Jackiewicz , Vito Losacco , Andrzej Nazaruk , Mahesh Viswanathan , Maciej Wielgus
IPC分类号： G06F17/30
CPC分类号： G06F9/4868
摘要： An approach for replicating data is provided. A job that modifies data objects in a first system to generate a first set of changed data objects is determined to be a candidate for a job replication. Based on the job being a candidate for job replication, attributes of the job are retrieved, the retrieved attributes are sent to a second system, and an execution of the job by the second system is initiated as part of the job replication. The execution of the job causes data objects included in the second system to be modified to generate a second set of changed data objects as a replication of the first set of changed data objects.
摘要翻译：提供了一种复制数据的方法。修改第一系统中的数据对象以生成第一组改变的数据对象的作业被确定为作业复制的候选。基于作业作为作业复制的候选者，检索作业的属性，将检索到的属性发送到第二个系统，并且第二个系统的作业执行作为作业复制的一部分启动。该作业的执行导致包括在第二系统中的数据对象被修改以生成第二组改变的数据对象作为第一组改变的数据对象的复制。

45. 发明申请

US20120278386A1 ASSET SHARING WITHIN AN ENTERPRISE USING A PEER-TO-PEER NETWORK 有权
标题翻译：使用对等网络在企业内进行资产共享
公开(公告)号：US20120278386A1
公开(公告)日：2012-11-01
申请号：US13097203
申请日：2011-04-29
申请人： Vito Losacco , Andrzej Nazaruk , Mahesh Viswanathan , Maciej Wielgus
发明人： Vito Losacco , Andrzej Nazaruk , Mahesh Viswanathan , Maciej Wielgus
IPC分类号： G06F15/16
CPC分类号： H04L67/1078 , G06F17/30206
摘要： A method and system for sharing an asset in a peer-to-peer network. Meta data and a source node identification are received. The meta data specifies properties and content of the asset to be shared by the source node. The received source node identification and the meta data are locally stored as a couple in a catalog. Subsequently, content specifying the asset and a request to search for and retrieve the asset based on the content is received. The locally stored catalog is loaded and searched to detect the couple that includes the source node identification and meta data, where the received content matches the meta data. The source node is identified based on the detected couple. A request is sent to the source node to retrieve and share the asset, and in response, the asset is received.
摘要翻译：用于在对等网络中共享资产的方法和系统。接收元数据和源节点标识。元数据指定要由源节点共享的资产的属性和内容。接收到的源节点标识和元数据在本地存储为目录中的一对。随后，接收指定资产的内容和基于内容搜索和检索资产的请求。加载和搜索本地存储的目录以检测包括源节点标识和元数据的对，其中所接收的内容与元数据匹配。源节点基于检测到的对来识别。向源节点发送请求以检索和共享资产，作为响应，收到该资产。

46. 发明授权

US08265939B2 Hierarchical methods and apparatus for extracting user intent from spoken utterances 有权
标题翻译：用于从口语中提取用户意图的分层方法和装置
公开(公告)号：US08265939B2
公开(公告)日：2012-09-11
申请号：US11216483
申请日：2005-08-31
申请人： Dimitri Kanevsky , Joseph Simon Reisinger , Robert Sicconi , Mahesh Viswanathan
发明人： Dimitri Kanevsky , Joseph Simon Reisinger , Robert Sicconi , Mahesh Viswanathan
IPC分类号： G10L21/00
CPC分类号： G10L15/1815 , G10L15/1822 , G10L2015/226
摘要： A technique for determining intent associated with a spoken utterance of a user comprises the following steps/operations. Decoded speech uttered by the user is obtained. An intent is then extracted from the decoded speech uttered by the user. The intent is extracted in an iterative manner such that a class is determined after a first iteration and a sub-class of the class is determined after a second iteration. The class and the sub-class of the class are hierarchically indicative of the intent of the user, e.g., a target and data that may be associated with the target. The user intent extracting step may further determine a sub-class of the sub-class of the class after a third iteration, such that the class, the sub-class of the class, and the sub-class of the sub-class of the class are hierarchically indicative of the intent of the user.
摘要翻译：用于确定与用户的口语发音相关联的意图的技术包括以下步骤/操作。获得用户发出的解码的语音。然后从用户发出的解码语音中提取意图。以迭代方式提取意图，使得在第一次迭代之后确定类并且在第二次迭代之后确定该类的子类。类的类和子类分层地指示用户的意图，例如目标和可以与目标相关联的数据。用户意图提取步骤还可以在第三次迭代之后确定类的子类的子类，使得类，类的子类和子类的子类类分层表示用户的意图。

47. 发明授权

US07962340B2 Methods and apparatus for buffering data for use in accordance with a speech recognition system 有权
标题翻译：用于根据语音识别系统缓冲数据的方法和装置
公开(公告)号：US07962340B2
公开(公告)日：2011-06-14
申请号：US11209004
申请日：2005-08-22
申请人： Liam D. Comerford , David Carl Frank , Burn L. Lewis , Leonid Rachevksy , Mahesh Viswanathan
发明人： Liam D. Comerford , David Carl Frank , Burn L. Lewis , Leonid Rachevksy , Mahesh Viswanathan
IPC分类号： G10L15/04 , G10L17/00 , G10L11/06
CPC分类号： G10L15/28
摘要： Techniques are disclosed for overcoming errors in speech recognition systems. For example, a technique for processing acoustic data in accordance with a speech recognition system comprises the following steps/operations. Acoustic data is obtained in association with the speech recognition system. The acoustic data is recorded using a combination of a first buffer area and a second buffer area, such that the recording of the acoustic data using the combination of the two buffer areas at least substantially minimizes one or more truncation errors associated with operation of the speech recognition system.
摘要翻译：公开了用于克服语音识别系统中的错误的技术。例如，根据语音识别系统处理声学数据的技术包括以下步骤/操作。与语音识别系统相关联地获得声学数据。使用第一缓冲区域和第二缓冲区域的组合记录声学数据，使得使用两个缓冲区域的组合的声学数据的记录至少基本上最小化与语音操作相关联的一个或多个截断误差识别系统。

48. 发明申请

US20080270136A1 Methods and Apparatus for Use in Speech Recognition Systems for Identifying Unknown Words and for Adding Previously Unknown Words to Vocabularies and Grammars of Speech Recognition Systems 有权
标题翻译：用于识别未知词语的语音识别系统中使用的方法和装置，以及将以前未知的词添加到语音识别系统的语义和语法
公开(公告)号：US20080270136A1
公开(公告)日：2008-10-30
申请号：US12133762
申请日：2008-06-05
申请人： Sabine Deligne , Ramesh A. Gopinath , Dimitri Kanevsky , Mahesh Viswanathan
发明人： Sabine Deligne , Ramesh A. Gopinath , Dimitri Kanevsky , Mahesh Viswanathan
IPC分类号： G10L15/18
CPC分类号： G10L15/19 , G10L15/063 , G10L15/183 , G10L2015/0631
摘要： The present invention concerns methods and apparatus for identifying and assigning meaning to words not recognized by a vocabulary or grammar of a speech recognition system. In an embodiment of the invention, the word may be in an acoustic vocabulary of the speech recognition system, but may be unrecognized by an embedded grammar of a language model of the speech recognition system. In another embodiment of the invention, the word may not be recognized by any vocabulary associated with the speech recognition system. In embodiments of the invention, at least one hypothesis is generated for an utterance not recognized by the speech recognition system. If the at least one hypothesis meets at least one predetermined criterion, a sword or more corresponding to the at least one hypothesis is added to the vocabulary of the speech recognition system. In other embodiments of the invention, before adding the word to the vocabulary of the speech recognition system, the at least one hypothesis may be presented to the user of the speech recognition system to determine if that is what the used intended when the user spoke.
摘要翻译：本发明涉及用于识别和分配对语音识别系统的词汇或语法不被识别的词语的含义的方法和装置。在本发明的一个实施例中，该词可以在语音识别系统的声学词汇中，但是可能由语音识别系统的语言模型的嵌入语法无法识别。在本发明的另一个实施例中，该词可能不被与语音识别系统相关联的任何词汇识别。在本发明的实施例中，为语音识别系统未识别的话语生成至少一个假设。如果所述至少一个假设满足至少一个预定标准，则将与所述至少一个假设相对应的剑或更多的剑添加到所述语音识别系统的词汇表。在本发明的其他实施例中，在将单词添加到语音识别系统的词汇表之前，可以将该至少一个假设呈现给语音识别系统的用户，以确定当用户说话时所使用的意图是什么。

49. 发明申请

US20070055526A1 Method, apparatus and computer program product providing prosodic-categorical enhancement to phrase-spliced text-to-speech synthesis 审中-公开
标题翻译：方法，装置和计算机程序产品提供对短语拼接的文本到语音合成的韵律分类增强
公开(公告)号：US20070055526A1
公开(公告)日：2007-03-08
申请号：US11212432
申请日：2005-08-25
申请人： Ellen Eide , Raul Fernandez , John Pitrelli , Mahesh Viswanathan
发明人： Ellen Eide , Raul Fernandez , John Pitrelli , Mahesh Viswanathan
IPC分类号： G10L13/08
CPC分类号： G10L13/10
摘要： Disclosed is a method, a system and a computer program product for text-to-speech synthesis. The computer program product comprises a computer useable medium including a computer readable program, where the computer readable program when executed on the computer causes the computer to operate in accordance with a text-to-speech synthesis function by operations that include, responsive to at least one phrase represented as recorded human speech to be employed in synthesizing speech, labeling the phrase according to a symbolic categorization of prosodic phenomena; and constructing a data structure that includes word/prosody-categories and word/prosody-category sequences for the phrase, and that further includes information pertaining to a phone sequence associated with the constituent word or word sequence for the phrase.
摘要翻译：公开了一种用于文本到语音合成的方法，系统和计算机程序产品。计算机程序产品包括包括计算机可读程序的计算机可用介质，其中计算机可读程序在计算机上执行时，使得计算机根据文本到语音合成功能通过操作进行操作，所述操作至少响应于用作合成语音的录音人语言的一个短语，根据韵律现象的符号分类标注短语; 以及构建包括该短语的单词/韵律类别和单词/韵律类别序列的数据结构，并且还包括与该短语的组成单词或单词序列相关联的电话序列的信息。

50. 发明授权

US06421645B1 Methods and apparatus for concurrent speech recognition, speaker segmentation and speaker classification 有权
标题翻译：用于并行语音识别，扬声器分割和扬声器分类的方法和装置
公开(公告)号：US06421645B1
公开(公告)日：2002-07-16
申请号：US09345237
申请日：1999-06-30
申请人： Homayoon Sadr Mohammad Beigi , Alain Charles Louis Tritschler , Mahesh Viswanathan
发明人： Homayoon Sadr Mohammad Beigi , Alain Charles Louis Tritschler , Mahesh Viswanathan
IPC分类号： G10L1500
CPC分类号： G06K9/6226 , G06F17/30746 , G10L15/26 , G10L17/00
摘要： A method and apparatus are disclosed for automatically transcribing audio information from an audio-video source and concurrently identifying the speakers. The disclosed audio transcription and speaker classification system includes a speech recognition system, a speaker segmentation system and a speaker identification system. A common front-end processor computes feature vectors that are processed along parallel branches in a multi-threaded environment by the speech recognition system, speaker segmentation system and speaker identification system, for example, using a shared memory architecture that acts in a server-like manner to distribute the computed feature vectors to a channel associated with each parallel branch. The speech recognition system produces transcripts with time-alignments for each word in the transcript. The speaker segmentation system separates the speakers and identifies all possible frames where there is a segment boundary between non-homogeneous speech portions. The speaker identification system thereafter uses an enrolled speaker database to assign a speaker to each identified segment. The audio information from the audio-video source is concurrently transcribed and segmented to identify segment boundaries. Thereafter, the speaker identification system assigns a speaker label to each portion of the transcribed text.
摘要翻译：公开了一种用于从音频 - 视频源自动转录音频信息并同时识别扬声器的方法和装置。所公开的音频转录和扬声器分类系统包括语音识别系统，扬声器分割系统和扬声器识别系统。常见的前端处理器计算通过语音识别系统，扬声器分割系统和扬声器识别系统在多线程环境中沿着并行分支处理的特征向量，例如使用以类似服务器的行为的共享存储器架构将计算出的特征向量分布到与每个并行分支相关联的信道的方式。语音识别系统为抄本中的每个单词生成具有时间对齐的抄本。扬声器分割系统分离扬声器并识别在非均匀语音部分之间存在分段边界的所有可能的帧。扬声器识别系统此后使用登记的扬声器数据库为每个识别的段分配扬声器。来自音频 - 视频源的音频信息被同时转录和分段以识别段边界。此后，扬声器识别系统为转录文本的每个部分分配扬声器标签。

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