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    • 1. 发明授权
    • Method and system for testing a tunable chromatic dispersion, dispersion slope, and polarization mode dispersion compensator utilizing a virtually imaged phased array
    • 用于利用虚拟成像的相控阵列测试可调色散,色散斜率和偏振模色散补偿器的方法和系统
    • US06441959B1
    • 2002-08-27
    • US09689998
    • 2000-10-11
    • Jialing YangSimon CaoJiyong MaChristopher Lin
    • Jialing YangSimon CaoJiyong MaChristopher Lin
    • G02B530
    • G02B5/3083G02B6/2713G02B6/278G02B6/29311G02B6/29358G02B6/29394G02B6/29395G02B27/0087H04B10/25133H04B10/2569
    • The present invention provides a dispersion compensator which utilizes a Virtually Imaged Phased Array (VIPA), gratings, and birefringent wedges to moderate chromatic dispersion, dispersion slope and polarization mode dispersion, and a method and system for testing such a dispersion compensator. The dispersion compensator in accordance with the present invention propagates the composite optical signal in a forward direction; separates the wavelengths in the band of wavelengths in each of the plurality of channels, where each of the wavelengths in the band is spatially distinguishable from the other wavelengths in the band; spatially separates each band of wavelengths in the plurality of channels; spatially separates each wavelength of each separated band of wavelengths into a plurality of polarized rays; and reflects the plurality of polarized rays toward a return direction, where dispersion is added to the reflected plurality of polarized rays such that the unwanted chromatic dispersion, dispersion slope, and PMD are compensated. The dispersion compensator provides simultaneous tunable compensation of these various dispersions utilizing a single apparatus. A system which utilizes the compensator is thus cost effective to manufacture. Systems may be provides which determines the operating and performance parameters for the compensator, and measures the spectrum outputted by the compensator.
    • 本发明提供一种色散补偿器,其利用虚拟成像相位阵列(VIPA),光栅和双折射楔来调节色散,色散斜率和偏振模色散,以及用于测试这种色散补偿器的方法和系统。 根据本发明的色散补偿器向前传播复合光信号; 分离多个通道中的每个通道中的波长带中的波长,其中波段中的每个波长在空间上与波段中的其它波长可区分; 空间上分离多个通道中的每个波长带; 将每个分离的波长带的每个波长空间分离成多个偏振光; 并且朝向返回方向反射多个偏振光,其中色散被添加到反射的多个偏振光线,使得不需要的色散,色散斜率和PMD被补偿。 色散补偿器利用单个设备提供这些各种分散体的同时可调谐补偿。 因此,利用补偿器的系统是制造成本有效的。 可以提供确定补偿器的操作和性能参数的系统,并测量补偿器输出的频谱。
    • 3. 发明授权
    • Speaker segmentation in noisy conversational speech
    • 讲话者在嘈杂的会话演讲中进行细分
    • US08543402B1
    • 2013-09-24
    • US13097620
    • 2011-04-29
    • Jiyong Ma
    • Jiyong Ma
    • G10L15/06
    • G10L17/04G10L17/08
    • System and methods for robust multiple speaker segmentation in noisy conversational speech are presented. Robust voice activity detection is applied to detect temporal speech events. In order to get robust speech features and detect speech events in a noisy environment, a noise reduction algorithm is applied, using noise tracking. After noise reduction and voice activity detection, the incoming audio/speech is initially labeled as speech segments or silence segments. With no prior knowledge of the number of speakers, the system identifies one reliable speech segment near the beginning of the conversational speech and extracts speech features with a short latency, then learns a statistical model from the selected speech segment. This initial statistical model is used to identify the succeeding speech segments in a conversation. The statistical model is also continuously adapted and expanded with newly identified speech segments that match well to the model. The speech segments with low likelihoods are labeled with a second speaker ID, and a statistical model is learned from them. At the same time, these two trained speaker models are also updated/adapted once a reliable speech segment is identified. If a speech segment does not match well to the two speaker models, the speech segment is temporarily labeled as an outlier or as originating from a third speaker. This procedure is then applied recursively as needed when there are more than two speakers in a conversation.
    • 提出了在嘈杂会话语音中强大的多个说话人分割的系统和方法。 应用鲁棒的语音活动检测来检测时间语音事件。 为了获得鲁棒的语音特征并在噪声环境中检测语音事件,使用噪声跟踪应用降噪算法。 在降噪和语音活动检测之后,进入的音频/语音最初被标记为语音段或静音段。 在没有对扬声器数量的先验知识的情况下,系统在对话语音开头附近识别出一个可靠的语音段,并且以较短的等待时间提取语音特征,然后从所选语音段学习统计模型。 该初始统计模型用于识别会话中的后续语音段。 统计模型也通过与模型匹配的新识别语音段不断适应和扩展。 具有低可能性的语音片段用第二扬声器ID标记,并从中学习统计模型。 同时,一旦识别出可靠的语音段,这两个训练有素的扬声器模型也被更新/调整。 如果语音段与两个说话者模型不匹配,则语音段被临时标记为异常值或者来自第三扬声器。 当会话中有两个以上的扬声器时,根据需要递归地应用该过程。