公开(公告)号：US08085139B2

公开(公告)日：2011-12-27

申请号：US11621382

申请日：2007-01-09

申请人： Dimitri Kanevsky ,  Roberto Sicconi ,  Mahesh Viswanathan

发明人： Dimitri Kanevsky ,  Roberto Sicconi ,  Mahesh Viswanathan

IPC分类号： B60Q1/00

CPC分类号： G07C5/085 ,  G07C5/0816

摘要： Techniques for managing vehicular emergencies are disclosed. For example, a method of managing a vehicular emergency includes the steps of collecting biometric data regarding at least one occupant of a vehicle, collecting data regarding at least one operational characteristic of the vehicle, and detecting vehicular emergencies through analysis of at least a portion of the biometric data and the operational characteristic data. This method may also include communicating at least one message relating to the data, wherein the content of the message is determined by the processing device based at least in part on the data and/or controlling a function of the vehicle in response to the data. The method may also include collecting data regarding at least one operational characteristic of at least one proximate vehicle.

摘要翻译： 公开了用于管理车辆紧急情况的技术。 例如，管理车辆紧急情况的方法包括以下步骤：收集关于车辆的至少一个乘员的生物特征数据，收集关于车辆的至少一个操作特征的数据，以及通过分析至少一部分 生物特征数据和操作特征数据。 该方法还可以包括传达与数据有关的至少一个消息，其中消息的内容至少部分地基于数据和/或响应于数据控制车辆的功能由处理设备确定。 该方法还可以包括收集关于至少一个邻近车辆的至少一个操作特征的数据。

公开(公告)号：US20110077993A1

公开(公告)日：2011-03-31

申请号：US12568079

申请日：2009-09-28

申请人： Anca Sailer ,  Hidayatulla H. Shaikh ,  Dennis G. Shea ,  Yang Song ,  Mahesh Viswanathan

发明人： Anca Sailer ,  Hidayatulla H. Shaikh ,  Dennis G. Shea ,  Yang Song ,  Mahesh Viswanathan

IPC分类号： G06Q10/00 ,  G06F17/30

CPC分类号： G06Q30/02 ,  G06F16/24578

摘要： Registration of a plurality of customers, each having an information technology infrastructure, with a manager of remote services is facilitated. Registration of a plurality of service partners with the manager is also facilitated. The manager detects an issue with a given one of the information technology infrastructures of a given one of the customers. Responsive to the detecting, responses from a subset of the service partners for potential selection to address the issue are facilitated. The partners in the subset are ranked based at least in part on ratings of the service partners in a rating database. A top-ranked one of the service partners is assigned to address the issue.

摘要翻译： 有利于具有信息技术基础设施的多个客户与远程服务的管理者的注册。 也促进了与经理的多个服务合作伙伴的注册。 经理检测给定一个客户的给定一个信息技术基础设施的问题。 响应于检测，促进来自服务合作伙伴子集的潜在选择以解决问题的响应。 该子集中的合作伙伴至少部分地基于评级数据库中服务合作伙伴的评级。 分配排名第一的服务合作伙伴来解决这个问题。

公开(公告)号：US20100184011A1

公开(公告)日：2010-07-22

申请号：US12357353

申请日：2009-01-21

申请人： Liam D. Comerford ,  Mahesh Viswanathan

发明人： Liam D. Comerford ,  Mahesh Viswanathan

IPC分类号： G09B5/04

CPC分类号： G10L15/26 ,  G06N99/005 ,  G10L13/043 ,  G10L17/22

摘要： A machine, system and method for user-guided teaching of deictic references and referent objects of deictic references to a conversational system. The machine includes a system bus for communicating data and control signals received from the conversational system to the computer system, a data and control bus for connecting devices and sensors in the machine, a bridge module for connecting the data and control bus to the system bus, respective machine subsystems coupled to the data and control bus, the respective machine subsystems having a respective user interface for receiving a deictic reference from a user, a memory coupled to the system bus for storing deictic references and objects of the deictic references learned by the conversational system and a central processing unit coupled to the system bus for executing the deictic references with respect to the objects of the deictic references learned.

摘要翻译： 用于指导教学语言参考的机器，系统和方法，以及对话系统的指导性引用对象。 该机器包括用于将从对话系统接收的数据和控制信号传送到计算机系统的系统总线，用于连接机器中的设备和传感器的数据和控制总线，用于将数据和控制总线连接到系统总线的桥模块 耦合到数据和控制总线的相应的机器子系统，相应的机器子系统具有用于从用户接收指令性引用的相应用户接口，耦合到系统总线的存储器，用于存储指令性引用和由 会话系统和耦合到系统总线的中央处理单元，用于相对于所学习的指导性参考的对象执行指令性引用。

公开(公告)号：US20090132575A1

公开(公告)日：2009-05-21

申请号：US11942081

申请日：2007-11-19

申请人： William Kroeschel ,  Arvind Sathi ,  Mahesh Viswanathan

发明人： William Kroeschel ,  Arvind Sathi ,  Mahesh Viswanathan

IPC分类号： G06F17/30

CPC分类号： G06F21/6254

摘要： A method and system of masking a group of related data values. A record in an unmasked data file of n records is read. The record includes a first set of data values of data elements included in a related data group (RDG) and one or more data values of one or more data elements external to the RDG. A random number k is received. A second set of data values is retrieved from a lookup table that associates n key values with n sets of data values. Retrieving the second set of data values includes identifying that the second set of data values is associated with a key value of k. The n sets of data values are included in the umnasked data file's n records. The record is masked by replacing the first set of data values with the retrieved second set of data values.

摘要翻译： 一组屏蔽相关数据值的方法和系统。 读取n个记录的未屏蔽数据文件中的记录。 记录包括包括在相关数据组（RDG）中的数据元素的第一组数据值和RDG外部的一个或多个数据元素的一个或多个数据值。 接收随机数k。 从查找表中检索第二组数据值，该查找表将n个键值与n组数据值相关联。 检索第二组数据值包括识别第二组数据值与k的键值相关联。 n个数据值包含在已记录的数据文件的n个记录中。 通过用检索到的第二组数据值替换第一组数据值来掩蔽该记录。

公开(公告)号：US20060167696A1

公开(公告)日：2006-07-27

申请号：US11044316

申请日：2005-01-27

申请人： Jarir Chaar ,  Dimitri Kanevsky ,  Roberto Sicconi ,  Mahesh Viswanathan

发明人： Jarir Chaar ,  Dimitri Kanevsky ,  Roberto Sicconi ,  Mahesh Viswanathan

IPC分类号： G10L21/00

CPC分类号： G10L15/22

摘要： Systems and methods are provided for processing and executing commands in automated systems. For example, command processing systems and methods are provided which can automatically determine, evaluate or otherwise predict consequences of execution of misrecognized or misinterpreted user commands in automated systems and thus prevent undesirable or dangerous consequences that can result from execution of misrecognized/misinterpreted commands.

摘要翻译： 提供了系统和方法来处理和执行自动化系统中的命令。 例如，提供了命令处理系统和方法，其可以自动地确定，评估或以其他方式预测在自动化系统中执行错误识别或误解的用户命令的后果，并且因此防止由于执行错误识别/误解的命令而导致的不期望或危险的后果。

公开(公告)号：US06748356B1

公开(公告)日：2004-06-08

申请号：US09588846

申请日：2000-06-07

申请人： Homayoon Sadr Mohammad Beigi ,  Mahesh Viswanathan

发明人： Homayoon Sadr Mohammad Beigi ,  Mahesh Viswanathan

IPC分类号： G10L1504

CPC分类号： G10L17/04 ,  G10L21/028

摘要： A method and apparatus are disclosed for identifying speakers participating in an audio-video source, whether or not such speakers have been previously registered or enrolled. A speaker segmentation system separates the speakers and identifies all possible frames where there is a segment boundary between non-homogeneous speech portions. A hierarchical speaker tree clustering system clusters homogeneous segments (generally corresponding to the same speaker), and assigns a cluster identifier to each detected segment, whether or not the actual name of the speaker is known. A hierarchical enrolled speaker database is used that includes one or more background models for unenrolled speakers to assign a speaker to each identified segment. Once speech segments are identified by the segmentation system, the disclosed unknown speaker identification system compares the segment utterances to the enrolled speaker database using a hierarchical approach and finds the “closest” speaker, if any, to assign a speaker label to each identified segment. A speech segment having an unknown speaker is initially assigned a general speaker label from a set of background models for speaker identification, such as “unenrolled male” or “unenrolled female.” The “unenrolled” segment is assigned a cluster identifier and is positioned in the hierarchical tree. Thus, the hierarchical speaker tree clustering system assigns a unique cluster identifier corresponding to a given node, for each speaker to further differentiate the general speaker labels.

摘要翻译： 公开了一种用于识别参与音频 - 视频源的扬声器的方法和装置，无论这些扬声器是否已经被注册或注册。 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段边界的所有可能帧。 分层扬声器树聚类系统聚类同质段（通常对应于同一个扬声器），并且将簇标识符分配给每个检测到的段，无论扬声器的实际名称是否已知。 使用分级登记的扬声器数据库，其包括一个或多个用于未被注册的扬声器的背景模型，以将扬声器分配给每个识别的段。 一旦通过分割系统识别语音片段，所公开的未知扬声器识别系统使用分层方法将片段话语与所登记的说话者数据库进行比较，并找到“最接近”的说话者（如果有的话）为每个识别的片段分配说话人标签。 具有未知扬声器的语音片段最初由用于说话者识别的一组背景模型（例如“未被注册的男性”或“未注册的女性”）分配一般的扬声器标签。 “未注册”段被分配一个集群标识符，并位于分层树中。 因此，分层扬声器树聚类系统为每个扬声器分配对应于给定节点的唯一簇标识符，以进一步区分一般扬声器标签。

公开(公告)号：US06738745B1

公开(公告)日：2004-05-18

申请号：US09544678

申请日：2000-04-07

申请人： Jiri Navratil ,  Mahesh Viswanathan

发明人： Jiri Navratil ,  Mahesh Viswanathan

IPC分类号： G10L1508

CPC分类号： G10L15/20

摘要： Methods and apparatus are disclosed for detecting non-target language references in an audio transcription or speech recognition system using a confidence score. The confidence score may be based on (i) a probabilistic engine score provided by a speech recognition system, (ii) additional scores based on background models, or (iii) a combination of the foregoing. The engine score provided by the speech recognition system for a given input speech utterance reflects the degree of acoustic and linguistic match of the utterance with the trained target language. The background models are created or trained based on speech data in other languages, which may or may not include the target language itself. A number of types of background language models may be employed for each modeled language, including one or more of (i) prosodic models; (ii) acoustic models; (iii) phonotactic models; and (iv) keyword spotting models. The engine score can be combined with the background model scores to normalize the engine score for non-target languages. The present invention identifies a non-target language utterance within an audio stream when the confidence score falls below a predefined criteria. A language rejection mechanism can interrupt or modify the transcription process when speech in the non-target language is detected.

摘要翻译： 公开了用于使用置信度分数来检测音频转录或语音识别系统中的非目标语言参考的方法和装置。 置信度得分可以基于（i）由语音识别系统提供的概率引擎得分，（ii）基于背景模型的额外得分，或（iii）前述的组合。 用于给定输入语音话语的语音识别系统提供的发动机分数反映了语音与训练的目标语言的声学和语言匹配程度。 基于其他语言的语音数据创建或训练背景模型，其可以包括或可以不包括目标语言本身。 可以对每个建模语言采用多种类型的背景语言模型，包括（i）韵律模型中的一个或多个; （ii）声学模型; （iii）语音模型; 和（iv）关键字点样模型。 引擎得分可以与背景模型分数相结合，以使非目标语言的引擎得分标准化。 当置信度得分低于预定标准时，本发明识别音频流内的非目标语言话语。 当检测到非目标语言的语音时，语言拒绝机制可以中断或修改转录过程。

公开(公告)号：US06424946B1

公开(公告)日：2002-07-23

申请号：US09434604

申请日：1999-11-05

申请人： Alain Charles Louis Tritschler ,  Mahesh Viswanathan

发明人： Alain Charles Louis Tritschler ,  Mahesh Viswanathan

IPC分类号： G10L1522

CPC分类号： G06F17/3074 ,  G06K9/6226 ,  G10L15/26 ,  G10L17/00

摘要： A method and apparatus are disclosed for identifying speakers participating in an audio-video source, whether or not such speakers have been previously registered or enrolled. The speaker identification system uses an enrolled speaker database that includes background models for unenrolled speakers, such as “unenrolled male” or “unenrolled female,” to assign a speaker label to each identified segment. Speaker labels are identified for each speech segment by comparing the segment utterances to the enrolled speaker database and finding the “closest” speaker, if any. A speech segment having an unknown speaker is initially assigned a general speaker label from the set of background models. The “unenrolled” segment is assigned a segment number and receives a cluster identifier assigned by the clustering system. If a given segment is assigned a temporary speaker label associated with an unenrolled speaker, the user can be prompted by the present invention to identify the speaker. Once the user assigns a speaker label to an audio segment having an unknown speaker, the same speaker name can be automatically assigned to any segments that are assigned to the same cluster and the enrolled speaker database can be automatically updated to enroll the previously unknown speaker.

摘要翻译： 公开了一种用于识别参与音频 - 视频源的扬声器的方法和装置，无论这些扬声器是否已经被注册或注册。 扬声器识别系统使用已登记的扬声器数据库，其中包括未被注册的扬声器的背景模型，例如“未公开的男性”或“未注册的女性”，以向每个识别的段分配扬声器标签。 通过将分段话语与已登记的扬声器数据库进行比较，找到“最接近”的扬声器（如果有的话），为每个语音段识别扬声器标签。 具有未知扬声器的语音片段最初被分配来自背景模型集合的一般扬声器标签。 “未注册”段被分配段号，并接收由集群系统分配的集群标识符。 如果给定段被指定与未被注册的扬声器相关联的临时扬声器标签，则本发明可以提示用户识别扬声器。 一旦用户将扬声器标签分配给具有未知扬声器的音频段，则可以将相同的扬声器名称自动分配给分配给相同群集的任何段，并且所登记的扬声器数据库可以自动更新以注册先前未知的扬声器。