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    • 3. 发明授权
    • Environment adjusted speaker identification
    • 环境调节扬声器识别
    • US09437193B2
    • 2016-09-06
    • US14602166
    • 2015-01-21
    • Microsoft Technology Licensing, LLC
    • Andrew William Lovitt
    • G10L15/06G10L17/04
    • G10L17/20G01H7/00G10L15/30G10L17/04G10L17/06G10L21/0208
    • Computerized estimation of an identity of a user of a computing system. The system estimates environment-specific alterations of a received user sound that is received at the computing system. The system estimates whether the received user sounds is from a particular user by use of a corresponding user-dependent audio model. The user-dependent audio model may be stored in a multi-system store accessible such that the method may be performed for a given user across multiple systems and on a system that the user has never before trained to recognize the user. This reduces or even eliminates the need for a user to train a system to recognize the voice of a user, and allows multiple systems to take advantage of previous training performed by the user.
    • 计算机系统用户身份的计算机化估计。 该系统估计在计算系统处接收到的接收到的用户声音的环境特定的改变。 该系统通过使用相应的用户依赖音频模型来估计所接收的用户声音是否来自特定用户。 用户相关的音频模型可以被存储在可访问的多系统存储器中,使得该方法可以针对给定用户跨越多个系统以及用户从未在训练过以识别该用户的系统上执行。 这减少甚至消除了用户训练系统以识别用户的语音的需要,并且允许多个系统利用用户执行的先前的训练。
    • 5. 发明申请
    • ENVIRONMENT ADJUSTED SPEAKER IDENTIFICATION
    • 环境调节扬声器识别
    • US20160210969A1
    • 2016-07-21
    • US14602166
    • 2015-01-21
    • Microsoft Technology Licensing, LLC
    • Andrew William Lovitt
    • G10L17/04
    • G10L17/20G01H7/00G10L15/30G10L17/04G10L17/06G10L21/0208
    • Computerized estimation of an identity of a user of a computing system. The system estimates environment-specific alterations of a received user sound that is received at the computing system. The system estimates whether the received user sounds is from a particular user by use of a corresponding user-dependent audio model. The user-dependent audio model may be stored in a multi-system store accessible such that the method may be performed for a given user across multiple systems and on a system that the user has never before trained to recognize the user. This reduces or even eliminates the need for a user to train a system to recognize the voice of a user, and allows multiple systems to take advantage of previous training performed by the user.
    • 计算机系统用户身份的计算机化估计。 该系统估计在计算系统处接收到的接收到的用户声音的环境特定的改变。 该系统通过使用相应的用户依赖音频模型来估计所接收的用户声音是否来自特定用户。 用户相关的音频模型可以被存储在可访问的多系统存储器中,使得该方法可以针对给定用户跨越多个系统以及用户从未在训练过以识别该用户的系统上执行。 这减少甚至消除了用户训练系统以识别用户的语音的需要,并且允许多个系统利用用户执行的先前的训练。