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    Robust speaker recognition
    3.
    发明公开
    Robust speaker recognition 有权
    Robuste Sprechererkennung

    公开(公告)号：EP1860647A1

    公开(公告)日：2007-11-28

    申请号：EP06010748.9

    申请日：2006-05-24

    申请人： VOICE.TRUST AG

    发明人： Pilz, Christian S.

    IPC分类号： G10L17/00 ,  G06K9/00

    CPC分类号： G10L17/12 ,  G10L17/20

    摘要： The techniques described herein compensate for effects which arise from the usage of different compression techniques. A database is provided which stores a mean error signal for each of different compression techniques which may have been applied to a source signal. When an input signal stemming from a certain source signal and coded according to a certain compression technique is received, said certain compression technique is identified and an input pattern signal is determined from the received coded input signal. Then, the stored mean error signal of the recognized compression technique is added to the determined input pattern signal, thereby obtaining an enhanced input pattern signal.

    摘要翻译： 本文描述的技术补偿了由不同压缩技术的使用引起的影响。 提供了一种数据库，其存储可能已经应用于源信号的各种不同压缩技术的平均误差信号。 当接收到源自一定的源信号并根据某种压缩技术进行编码的输入信号时，识别出所述某些压缩技术，并根据接收到的编码输入信号确定输入模式信号。 然后，将所识别的压缩技术的所存储的平均误差信号加到确定的输入模式信号上，从而获得增强的输入模式信号。

    Speaker authentication in digital communication networks
    4.
    发明公开
    Speaker authentication in digital communication networks 有权
    数码相机中的Sprecherauthentifizierung Kommunikationsnetzen

    公开(公告)号：EP1843325A1

    公开(公告)日：2007-10-10

    申请号：EP06007054.7

    申请日：2006-04-03

    申请人： VOICE.TRUST AG

    发明人： Kuppuswamy, Raja ,  Pilz, Christian S.

    IPC分类号： G10L17/00

    CPC分类号： G10L17/20

    摘要： Present speaker authentication technologies suffer from the problem of different process conditions during the enrollment process and the test process. In the present invention, such mismatch between enrollment process conditions and test process conditions is compensated by means of correction parameters or correction models stored in a database, wherein the correction parameters or correction models allow for correcting one of the test voice characterizing parameter set and the enrollment voice characterizing parameter set according to a mismatch between the test process conditions and the enrollment process conditions, thereby obtaining values for the test voice characterizing parameter set and the enrollment voice characterizing parameter set which are based on the same or at least similar process conditions. As an alternative, each of the enrollment and test voice characterizing parameter sets may be normalized to predetermined standard process conditions by using the correction parameters or correction models.

    摘要翻译： 现有的扬声器认证技术在注册过程和测试过程中遭遇不同工艺条件的问题。 在本发明中，通过存储在数据库中的校正参数或校正模型来补偿注册处理条件和测试过程条件之间的这种不匹配，其中校正参数或校正模型允许校正测试语音特征参数集和 根据测试过程条件和注册过程条件之间的不匹配来设置注册语音表征参数集，由此获得基于相同或至少相似的处理条件的测试语音特征参数集和注册语音表征参数集的值。 作为替代，可以通过使用校正参数或校正模型将登记和测试语音特征参数集中的每一个归一化为预定的标准处理条件。