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    • 2. 发明授权
    • System and method for automatic audio content analysis for word spotting, indexing, classification and retrieval
    • 自动音频内容分析系统和方法,用于单词识别,索引,分类和检索
    • US06185527B2
    • 2001-02-06
    • US09234663
    • 1999-01-19
    • Dragutin PetkovicDulce Beatriz PonceleonSavitha Srinivasan
    • Dragutin PetkovicDulce Beatriz PonceleonSavitha Srinivasan
    • G10L1508
    • G06F17/30775G06F17/30746G10H2210/046G10H2210/061G10L15/26G10L2015/088
    • A system and method for indexing an audio stream for subsequent information retrieval and for skimming, gisting, and summarizing the audio stream includes using special audio prefiltering such that only relevant speech segments that are generated by a speech recognition engine are indexed. Specific indexing features are disclosed that improve the precision and recall of an information retrieval system used after indexing for word spotting. The invention includes rendering the audio stream into intervals, with each interval including one or more segments. For each segment of an interval it is determined whether the segment exhibits one or more predetermined audio features such as a particular range of zero crossing rates, a particular range of energy, and a particular range of spectral energy concentration. The audio features are heuristically determined to represent respective audio events including silence, music, speech, and speech on music. Also, it is determined whether a group of intervals matches a heuristically predefined meta pattern such as continuous uninterrupted speech, concluding ideas, hesitations and emphasis in speech, and so on, and the audio stream is then indexed based on the interval classification and meta pattern matching, with only relevant features being indexed to improve subsequent precision of information retrieval. Also, alternatives for longer terms generated by the speech recognition engine are indexed along with respective weights, to improve subsequent recall.
    • 用于索引音频流以用于后续信息检索和用于撇号,提示和汇总音频流的系统和方法包括使用特殊音频预过滤器,使得只有由语音识别引擎生成的相关语音片段被索引。 公开了特定的索引特征,其提高了用于单词识别的索引之后使用的信息检索系统的精度和调用。 本发明包括将音频流呈现为间隔,每个间隔包括一个或多个段。 对于间隔的每个段,确定该段是否呈现一个或多个预定的音频特征,例如零交叉率的特定范围,特定的能量范围和频谱能量集中的特定范围。 音频特征被启发式地确定为表示各种音频事件,包括静音,音乐,语音和音乐上的语音。 此外,确定一组间隔是否与启发式预定义的元模式匹配,例如连续不间断语音,结语,犹豫和语音强调等,然后基于间隔分类和元模式对音频流进行索引 匹配,只有相关功能被索引,以提高信息检索的后续精度。 此外,由语音识别引擎产生的较长项目的替代方案与相应的权重一起索引,以改进后续的召回。
    • 4. 发明授权
    • System and method for the automatic discovery of salient segments in speech transcripts
    • 自动发现语音成绩单中显着部分的系统和方法
    • US06928407B2
    • 2005-08-09
    • US10109960
    • 2002-03-29
    • Dulce Beatriz PonceleonSavitha Srinivasan
    • Dulce Beatriz PonceleonSavitha Srinivasan
    • G10L15/18G10L15/04G06F17/27
    • G10L15/1822Y10S707/99937
    • A system and associated method automatically discover salient segments in a speech transcript and focus on the segmentation of an audio/video source into topically cohesive segments based on Automatic Speech Recognition (ASR) transcriptions. The word n-grams are extracted from the speech transcript using a three-phase segmentation algorithm based on the following sequence or combination of boundary-based and content-based methods: a boundary-based method; a rate of arrival of feature method; and a content-based method. In the first two segmentation passes, the temporal proximity and the rate of arrival of features are analyzed to compute an initial segmentation. In the third segmentation pass, changes in the set of content-bearing words used by adjacent segments are detected, to validate the initial segments for merging them, to prevent over-segmentation.
    • 系统和相关方法自动发现语音录音中的突出部分,并将焦点集中在基于自动语音识别(ASR)转录的音频/视频源到局部内聚片段中。 使用基于边界和基于内容的方法的以下序列或组合的三阶段分割算法从语音转录中提取单词n-gram:基于边界的方法; 特征法的到达率; 和基于内容的方法。 在前两个分割段中,分析特征的时间接近度和到达速率以计算初始分割。 在第三个分割段中,检测相邻段使用的含有内容的单词集合中的变化,以验证其合并的初始段,以防止过度分割。
    • 5. 发明授权
    • System and service for automatically and dynamically composing document management applications
    • 用于自动和动态组合文档管理应用程序的系统和服务
    • US08112413B2
    • 2012-02-07
    • US12210310
    • 2008-09-15
    • Vikas KrishnaSavitha Srinivasan
    • Vikas KrishnaSavitha Srinivasan
    • G06F7/00
    • G06F17/30997G06K9/2054G06K2209/01G06Q10/04G06Q10/10
    • A document management system applies relevant document analysis, metadata extraction, and business process association algorithms and methodology to automatically and dynamically classify documents for routing, processing, and executing customized business logic. The document management system accepts documents from one or more channels, classifies the document and extracts metadata, executes customized application profiles and triggers business logic associated with the process. The document management system comprises a rules engine to detect and classify unstructured forms as well as structured forms, where the locations of attributes and visual layout are not fixed. The document management system provides automatic linkage between disparate systems that manages documents for the complete execution of a business process.
    • 文档管理系统应用相关文档分析,元数据提取和业务流程关联算法和方法来自动和动态地分类用于路由,处理和执行定制业务逻辑的文档。 文档管理系统从一个或多个通道接收文档,对文档进行分类并提取元数据,执行定制的应用程序配置文件并触发与该过程相关联的业务逻辑。 文档管理系统包括用于检测和分类非结构化表单以及结构化表单的规则引擎,其中属性和视觉布局的位置不是固定的。 文档管理系统在管理用于完整执行业务流程的文档的不同系统之间提供自动链接。
    • 8. 发明申请
    • Method and system for specifying, deploying and dynamically updating work flows
    • 用于指定,部署和动态更新工作流的方法和系统
    • US20070260500A1
    • 2007-11-08
    • US11415788
    • 2006-05-02
    • Neil BoyetteIsaac ChengVikas KrishnaSavitha Srinivasan
    • Neil BoyetteIsaac ChengVikas KrishnaSavitha Srinivasan
    • G06F9/46
    • G06Q10/10G06Q10/06
    • A method and system for specifying, deploying and updating work flows. A request is received from a user of a system with components comprising a computing system and human representatives. The components facilitate routing and servicing the request. A work flow comprising manual and automatic steps is specified to perform the routing and servicing of the request. The automatic steps are automatically performed by the computing system and the manual steps are manually performed by the representatives. Both the automatic steps and the manual steps are uniformly defined in a single general-purpose markup language (e.g., XML). Further, a manual step is dynamically transformed into a new automatic step that is represented as a new XML action element. The new XML action element includes an identifier of a software routine to be executed to perform the new automatic step.
    • 一种用于指定,部署和更新工作流程的方法和系统。 从具有包括计算系统和人类代表的组件的系统的用户接收到请求。 这些组件便于路由和服务请求。 指定包括手动和自动步骤的工作流程来执行请求的路由和服务。 自动步骤由计算系统自动执行,手动步骤由代表手动执行。 自动步骤和手动步骤均以单一通用标记语言(例如,XML)统一定义。 此外,手动步骤被动态转换为新的自动步骤,其被表示为新的XML动作元素。 新的XML动作元素包括要执行以执行新的自动步骤的软件例程的标识符。