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    • 1. 发明授权
    • Cross media targeted message synchronization
    • 跨媒体定位消息同步
    • US08898698B2
    • 2014-11-25
    • US13355332
    • 2012-01-20
    • Michael Ben FleischmanDeb Kumar Roy
    • Michael Ben FleischmanDeb Kumar Roy
    • H04N7/10H04N7/025H04N5/445H04N21/24H04N21/43H04N21/81G06Q10/00H04N21/2543
    • H04N21/4307G06Q10/00H04N21/23418H04N21/2407H04N21/25435H04N21/262H04N21/812H04N21/8126
    • Social media content items and references to events that occur therein are aligned with the time-based media events they describe. These mappings may be used as the basis for sending messages to populations of authors of content items, where the populations are determined based on whether the author has written a content item that refers to a specific TV show or advertisement. TV streams are monitored to detect when and where a specific advertisement for a particular advertiser is shown. Concurrently, social media streams are monitored for content items that refer to or are about specific TV shows and advertisements. Responsive to a specific advertisement being detected as being shown during a specific TV show, a message associated with the advertisement is sent to the authors of the content items associated with that TV show or advertisement. The messages can be transmitted while the advertisement is being shown.
    • 社交媒体内容项目和对其中发生的事件的引用与他们描述的基于时间的媒体事件相一致。 可以将这些映射作为将消息发送给内容作者作者的基础,其中根据作者是否写出涉及特定电视节目或广告的内容项来确定人群。 监视电视流,以检测特定广告商的特定广告的何时和何地被显示。 同时,对涉及或涉及特定电视节目和广告的内容项目进行社会媒体流的监控。 响应于在特定电视节目中被检测到的特定广告,与广告相关联的消息被发送到与该电视节目或广告相关联的内容项目的作者。 可以在广告显示时传送消息。
    • 4. 发明申请
    • Cross Media Targeted Message Synchronization
    • 跨媒体定向消息同步
    • US20120192227A1
    • 2012-07-26
    • US13355332
    • 2012-01-20
    • Michael Ben FleischmanDeb Kumar Roy
    • Michael Ben FleischmanDeb Kumar Roy
    • H04N21/60
    • H04N21/4307G06Q10/00H04N21/23418H04N21/2407H04N21/25435H04N21/262H04N21/812H04N21/8126
    • Social media content items and references to events that occur therein are aligned with the time-based media events they describe. These mappings may be used as the basis for sending messages to populations of authors of content items, where the populations are determined based on whether the author has written a content item that refers to a specific TV show or advertisement. TV streams are monitored to detect when and where a specific advertisement for a particular advertiser is shown. Concurrently, social media streams are monitored for content items that refer to or are about specific TV shows and advertisements. Responsive to a specific advertisement being detected as being shown during a specific TV show, a message associated with the advertisement is sent to the authors of the content items associated with that TV show or advertisement. The messages can be transmitted while the advertisement is being shown.
    • 社交媒体内容项目和对其中发生的事件的引用与他们描述的基于时间的媒体事件相一致。 可以将这些映射作为将消息发送给内容作者作者的基础,其中根据作者是否写出涉及特定电视节目或广告的内容项来确定人群。 监视电视流以检测特定广告商的特定广告的何时和何地被显示。 同时,对涉及或涉及特定电视节目和广告的内容项目进行社会媒体流的监控。 响应于在特定电视节目中被检测到的特定广告,与广告相关联的消息被发送到与该电视节目或广告相关联的内容项目的作者。 可以在广告显示时传送消息。
    • 6. 发明申请
    • Semi-Automatic Speech Transcription
    • 半自动语音转录
    • US20100121637A1
    • 2010-05-13
    • US12269207
    • 2008-11-12
    • Brandon Cain RoyDeb Kumar Roy
    • Brandon Cain RoyDeb Kumar Roy
    • G10L15/26
    • G10L15/22G10L25/78
    • A semi-automatic speech transcription system of the invention leverages the complementary capabilities of human and machine, building a system which combines automatic and manual approaches. With the invention, collected audio data is automatically distilled into speech segments, using signal processing and pattern recognition algorithms. The detected speech segments are presented to a human transcriber using a transcription tool with a streamlined transcription interface, requiring the transcriber to simply “listen and type”. This eliminates the need to manually navigate the audio, coupling the human effort to the amount of speech, rather than the amount of audio. Errors produced by the automatic system can be quickly identified by the human transcriber, which are used to improve the automatic system performance. The automatic system is tuned to maximize the human transcriber efficiency. The result is a system which takes considerably less time than purely manual transcription approaches to produce a complete transcription.
    • 本发明的半自动语音转录系统利用人机交互功能,构建了一种结合自动和手动方式的系统。 利用本发明,使用信号处理和模式识别算法将收集的音频数据自动地分解成语音段。 检测到的语音片段使用具有流线型转录界面的转录工具呈现给人类转录器,需要抄录员简单地“听和输入”。 这消除了手动导航音频的需要,将人的努力耦合到语音量,而不是音频量。 由自动系统产生的错误可以由用于提高自动系统性能的人转录器快速识别。 调整自动系统以最大限度地提高人类誊写者的效率。 结果是一种系统比纯手工转录方法花费相当少的时间来产生完整的转录。
    • 10. 发明授权
    • Semi-automatic speech transcription
    • 半自动语音转录
    • US08249870B2
    • 2012-08-21
    • US12269207
    • 2008-11-12
    • Brandon Cain RoyDeb Kumar Roy
    • Brandon Cain RoyDeb Kumar Roy
    • G10L15/00G10L15/06G10L15/04G10L15/18G10L11/00G10L21/00G10L21/06
    • G10L15/22G10L25/78
    • A semi-automatic speech transcription system of the invention leverages the complementary capabilities of human and machine, building a system which combines automatic and manual approaches. With the invention, collected audio data is automatically distilled into speech segments, using signal processing and pattern recognition algorithms. The detected speech segments are presented to a human transcriber using a transcription tool with a streamlined transcription interface, requiring the transcriber to simply “listen and type”. This eliminates the need to manually navigate the audio, coupling the human effort to the amount of speech, rather than the amount of audio. Errors produced by the automatic system can be quickly identified by the human transcriber, which are used to improve the automatic system performance. The automatic system is tuned to maximize the human transcriber efficiency. The result is a system which takes considerably less time than purely manual transcription approaches to produce a complete transcription.
    • 本发明的半自动语音转录系统利用人机交互功能,构建了一种结合自动和手动方式的系统。 利用本发明,使用信号处理和模式识别算法将收集的音频数据自动地分解成语音段。 检测到的语音片段使用具有流线型转录界面的转录工具呈现给人类转录器,需要抄录员简单地“听和输入”。 这消除了手动导航音频的需要,将人的努力耦合到语音量,而不是音频量。 由自动系统产生的错误可以由用于提高自动系统性能的人转录器快速识别。 调整自动系统以最大限度地提高人类誊写者的效率。 结果是一种系统比纯手工转录方法花费相当少的时间来产生完整的转录。