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    • 3. 发明授权
    • System and method for visualizing and navigating dynamic content in a graphical user interface
    • 用于在图形用户界面中可视化和导航动态内容的系统和方法
    • US08010903B2
    • 2011-08-30
    • US10034499
    • 2001-12-28
    • Andreas DiebergerDulce Beatriz Ponceleon
    • Andreas DiebergerDulce Beatriz Ponceleon
    • G06F3/00
    • G06F17/30994G06F3/0485
    • A system and method for visualizing and navigating dynamic documents including data from an ongoing process and including instances of specified search terms. A summary view including a condensed abstract representation of a dynamic document provides a global overview of the distribution of search terms. The invention updates the document and aggregates the instances of search terms when the representation includes a nonlinear scale or uses multiple display regions having different resolution levels. The invention supports rapid skimming of dynamic documents and dynamic document collections, including enhancements triggered by cursor brushing, while keeping the user in context. Navigation to a segment of the dynamic document by selecting a corresponding portion of the summary view can replace the use of conventional scrolling techniques.
    • 用于可视化和导航动态文档的系统和方法,包括来自持续进程的数据并包括指定搜索项的实例。 包括动态文档的精简抽象表示的摘要视图提供了搜索词的分布的全局概述。 当表示包括非线性比例或使用具有不同分辨率级别的多个显示区域时,本发明更新文档并聚合搜索项的实例。 本发明支持动态文档和动态文档集合的快速删除,包括通过光标刷新触发的增强,同时保持用户在上下文中。 通过选择摘要视图的相应部分导航到动态文档的段可以替代常规滚动技术的使用。
    • 5. 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。
    • 8. 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。