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    Method of noise reduction using instantaneous signal-to-noise ratio as the Principal quantity for optimal estimation
    1.
    发明授权
    Method of noise reduction using instantaneous signal-to-noise ratio as the Principal quantity for optimal estimation 有权
    噪声降低处理使用一个信噪比主要尺寸被估计为最佳

    公开(公告)号：EP1508893B1

    公开(公告)日：2013-05-22

    申请号：EP04103502.3

    申请日：2004-07-22

    Applicant: MICROSOFT CORPORATION

    Inventor： Droppo, James G. ,  Deng, Li ,  Acero, Alejandro

    IPC: G10L21/02

    CPC classification number: G10L21/0208

    Abstract: A system and method are provided that accurately estimate noise and that reduce noise in pattern recognition signals. The method and system define a mapping random variable as a function of at least a clean signal random variable and a noise random variable. A model parameter that describes at least one aspect of a distribution of values for the mapping random variable is then determined. Based on the model parameter, an estimate for the clean signal random variable is determined. Under many aspects of the present invention, the mapping random variable is a signal-to-noise ratio variable and the method and system estimate a value for the signal-to-noise ratio variable from the model parameter.

    Method and apparatus for multi-sensory speech enhancement
    4.
    发明公开
    Method and apparatus for multi-sensory speech enhancement 有权
    Verfahren und Vorrichtung zur multisensorischenSprachverstärkung

    公开(公告)号：EP2431972A1

    公开(公告)日：2012-03-21

    申请号：EP11008608.9

    申请日：2004-10-26

    Applicant: Microsoft Corporation

    Inventor： Acero, Alejandro ,  Droppo, James G. ,  Sinclair, Michael J. ,  Huang, Xuedong David ,  Zhang, Zhengyou ,  Liu, Zicheng ,  Deng, Li ,  Zheng, Yanli

    IPC: G10L21/02

    CPC classification number: G10L21/0208 ,  G10L2021/02165

    Abstract: A method and system use an alternative sensor signal received from a sensor other than an air conduction microphone to estimate a clean speech value. The estimation uses either the alternative sensor signal alone, or in conjunction with the air conduction microphone signal. The clean speech value is estimated without using a model trained from noisy training data collected from an air conduction microphone. Under one embodiment, correction vectors are added to a vector formed from the alternative sensor signal in order to form a filter, which is applied to the air conductive microphone signal to produce the clean speech estimate. In other embodiments, the pitch of a speech signal is determined from the alternative sensor signal and is used to decompose an air conduction microphone signal. The decomposed signal is then used to determine a clean signal estimate.

    Abstract translation: 一种方法和系统使用从除了导电麦克风以外的传感器接收的替代传感器信号来估计干净的语音值。 该估计单独使用替代传感器信号，或者与空气传导麦克风信号结合使用。 在不使用从空气传导麦克风收集的噪声训练数据训练的模型的情况下估计干净的语音值。 在一个实施例中，校正矢量被添加到由替代传感器信号形成的矢量中，以便形成滤波器，该滤波器被应用于空气传导麦克风信号以产生干净的语音估计。 在其他实施例中，语音信号的音调由替代传感器信号确定，并用于分解空气传导麦克风信号。 然后使用分解的信号来确定干净的信号估计。

    Method of noise reduction using instantaneous signal-to-noise ratio as the Principal quantity for optimal estimation
    5.
    发明公开
    Method of noise reduction using instantaneous signal-to-noise ratio as the Principal quantity for optimal estimation 有权
    Rauschunterdrückungsverfahrenunter Verwendung eines Signal-Rauschverhältnissesals optimalabzuschätzendeHauptgrösse

    公开(公告)号：EP1508893A2

    公开(公告)日：2005-02-23

    申请号：EP04103502.3

    申请日：2004-07-22

    Applicant: MICROSOFT CORPORATION

    Inventor： Droppo, James G. ,  Deng, Li ,  Acero, Alejandro

    IPC: G10L21/02

    CPC classification number: G10L21/0208

    Abstract: A system and method are provided that accurately estimate noise and that reduce noise in pattern recognition signals. The method and system define a mapping random variable as a function of at least a clean signal random variable and a noise random variable. A model parameter that describes at least one aspect of a distribution of values for the mapping random variable is then determined. Based on the model parameter, an estimate for the clean signal random variable is determined. Under many aspects of the present invention, the mapping random variable is a signal-to-noise ratio variable and the method and system estimate a value for the signal-to-noise ratio variable from the model parameter.

    Abstract translation: 提供了一种准确估计噪声并降低模式识别信号中的噪声的系统和方法。 该方法和系统将映射随机变量定义为至少一个干净信号随机变量和噪声随机变量的函数。 然后确定描述映射随机变量的值的分布的至少一个方面的模型参数。 基于模型参数，确定干净信号随机变量的估计。 在本发明的许多方面，映射随机变量是信噪比变量，并且该方法和系统根据模型参数估计信噪比变量的值。

    Method of noise estimation using incremental bayesian learning
    6.
    发明公开
    Method of noise estimation using incremental bayesian learning 有权
    使用增量贝叶斯学习用于噪声估计的方法

    公开(公告)号：EP1465160A3

    公开(公告)日：2005-01-12

    申请号：EP04006719.1

    申请日：2004-03-19

    Applicant: MICROSOFT CORPORATION

    Inventor： Acero, Alejandro ,  Deng, Li ,  Droppo, James G.

    IPC: G10L21/02

    CPC classification number: G10L21/0208

    Abstract: A method and apparatus estimate additive noise in a noisy signal using incremental Bayes learning, where a time-varying noise prior distribution is assumed and hyperparameters (mean and variance) are updated recursively using an approximation for posterior computed at the preceding time step. The additive noise in time domain is represented in the log-spectrum or cepstrum domain before applying incremental Bayes learning. The results of both the mean and variance estimates for the noise for each of separate frames are used to perform speech feature enhancement in the same log-spectrum or cepstrum domain.

    Method and apparatus for multi-sensory speech enhancement
    7.
    发明授权
    Method and apparatus for multi-sensory speech enhancement 有权
    多感官语音增强的方法和装置

    公开(公告)号：EP2431972B1

    公开(公告)日：2013-07-24

    申请号：EP11008608.9

    申请日：2004-10-26

    Applicant: Microsoft Corporation

    Inventor： Acero, Alejandro ,  Droppo, James G. ,  Sinclair, Michael J. ,  Huang, Xuedong David ,  Zhang, Zhengyou ,  Liu, Zicheng ,  Deng, Li ,  Zheng, Yanli

    IPC: G10L21/02

    CPC classification number: G10L21/0208 ,  G10L2021/02165

    Abstract: A method and system use an alternative sensor signal received from a sensor other than an air conduction microphone to estimate a clean speech value. The estimation uses either the alternative sensor signal alone, or in conjunction with the air conduction microphone signal. The clean speech value is estimated without using a model trained from noisy training data collected from an air conduction microphone. Under one embodiment, correction vectors are added to a vector formed from the alternative sensor signal in order to form a filter, which is applied to the air conductive microphone signal to produce the clean speech estimate. In other embodiments, the pitch of a speech signal is determined from the alternative sensor signal and is used to decompose an air conduction microphone signal. The decomposed signal is then used to determine a clean signal estimate.

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