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    • 3. 发明申请
    • System and Method for Multi-Channel Noise Suppression
    • 多通道噪声抑制系统与方法
    • US20120123773A1
    • 2012-05-17
    • US13295889
    • 2011-11-14
    • Huaiyu ZENGJes ThyssenNelson SollenbergerJuin-Hwey ChenXianxian Zhang
    • Huaiyu ZENGJes ThyssenNelson SollenbergerJuin-Hwey ChenXianxian Zhang
    • G10L21/02
    • G10L21/0208G10L21/0272G10L2021/02165H04R1/245H04R2410/07
    • Described herein are multi-channel noise suppression systems and methods that are configured to detect and suppress wind and background noise using at least two spatially separated microphones: at least one primary speech microphone and at least one noise reference microphone. The multi-channel noise suppression systems and methods are configured, in at least one example, to first detect and suppress wind noise in the input speech signal picked up by the primary speech microphone and, potentially, the input speech signal picked up by the noise reference microphone. Following wind noise detection and suppression, the multi-channel noise suppression systems and methods are configured to perform further noise suppression in two stages: a first linear processing stage that includes a blocking matrix and an adaptive noise canceler, followed by a second non-linear processing stage.
    • 这里描述的是多通道噪声抑制系统和方法,其被配置为使用至少两个空间分离的麦克风来检测和抑制风和背景噪声:至少一个主话音麦克风和至少一个噪声参考麦克风。 在至少一个示例中,多声道噪声抑制系统和方法被配置为首先检测和抑制由主话音麦克风拾取的输入语音信号中的风噪声,并且潜在地由噪声拾取的输入语音信号 参考麦克风 在风噪声检测和抑制之后,多声道噪声抑制系统和方法被配置为在两个阶段中执行进一步的噪声抑制:包括阻塞矩阵和自适应噪声消除器的第一线性处理级,随后是第二非线性 处理阶段。
    • 7. 发明申请
    • NOISE SUPPRESSION USING MULTIPLE SENSORS OF A COMMUNICATION DEVICE
    • 使用通信设备的多个传感器的噪声抑制
    • US20120185246A1
    • 2012-07-19
    • US13174964
    • 2011-07-01
    • Xianxian ZhangJes ThyssenKwan Young Shin
    • Xianxian ZhangJes ThyssenKwan Young Shin
    • G10L21/02
    • G10L21/0208G10L2021/02161
    • Techniques are described herein that suppress noise using multiple sensors (e.g., microphones) of a communication device. Noise modeling (e.g., estimation of noise basis vectors and noise weighting vectors) is performed with respect to a noise signal during operation of a communication device to provide a noise model. The noise model includes noise basis vectors and noise coefficients that represent noise provided by audio sources other than a user of the communication device. Speech modeling (e.g., estimation of speech basis vectors and speech weighting) is performed to provide a speech model. The speech model includes speech basis vectors and speech coefficients that represent speech of the user. A noisy speech signal is processed using the noise basis vectors, the noise coefficients, the speech basis vectors, and the speech coefficients to provide a clean speech signal.
    • 本文描述了使用通信设备的多个传感器(例如,麦克风)抑制噪声的技术。 在通信设备的操作期间,相对于噪声信号执行噪声建模(例如噪声基矢量和噪声加权矢量的估计)以提供噪声模型。 噪声模型包括噪声基矢量和表示由通信设备的用户以外的音频源提供的噪声的噪声系数。 执行语音建模(例如,语音基本向量的估计和语音加权)以提供语音模型。 语音模型包括表示用户语音的语音基向量和语音系数。 使用噪声基矢量,噪声系数,语音基矢量和语音系数来处理噪声语音信号以提供干净的语音信号。
    • 8. 发明授权
    • Noise suppression using multiple sensors of a communication device
    • 使用通信设备的多个传感器进行噪声抑制
    • US08874441B2
    • 2014-10-28
    • US13174964
    • 2011-07-01
    • Xianxian ZhangJes ThyssenKwan Young Shin
    • Xianxian ZhangJes ThyssenKwan Young Shin
    • G10L21/02
    • G10L21/0208G10L2021/02161
    • Techniques are described herein that suppress noise using multiple sensors (e.g., microphones) of a communication device. Noise modeling (e.g., estimation of noise basis vectors and noise weighting vectors) is performed with respect to a noise signal during operation of a communication device to provide a noise model. The noise model includes noise basis vectors and noise coefficients that represent noise provided by audio sources other than a user of the communication device. Speech modeling (e.g., estimation of speech basis vectors and speech weighting) is performed to provide a speech model. The speech model includes speech basis vectors and speech coefficients that represent speech of the user. A noisy speech signal is processed using the noise basis vectors, the noise coefficients, the speech basis vectors, and the speech coefficients to provide a clean speech signal.
    • 本文描述了使用通信设备的多个传感器(例如,麦克风)抑制噪声的技术。 在通信设备的操作期间,相对于噪声信号执行噪声建模(例如噪声基矢量和噪声加权矢量的估计)以提供噪声模型。 噪声模型包括噪声基矢量和表示由通信设备的用户以外的音频源提供的噪声的噪声系数。 执行语音建模(例如,语音基本向量的估计和语音加权)以提供语音模型。 语音模型包括表示用户语音的语音基向量和语音系数。 使用噪声基矢量,噪声系数,语音基矢量和语音系数来处理噪声语音信号以提供干净的语音信号。
    • 10. 发明申请
    • MULTI-CHANNEL NOISE SUPPRESSION SYSTEM
    • 多通道噪声抑制系统
    • US20110099010A1
    • 2011-04-28
    • US12706874
    • 2010-02-17
    • Xianxian Zhang
    • Xianxian Zhang
    • G10L15/20
    • G10L25/78G10L21/0272G10L2021/02165G10L2025/786
    • Techniques are described herein that provide multi-channel noise suppression based on a Teager energy ratio. A Teager energy ratio is a ratio of an average Teager energy operator (TEO) energy of a first signal to an average TEO energy of a second signal. The average TEO energy of a signal is defined by the equation: E _ signal = 1 N  ∑ i = 1 N   [ x 2  ( n ) - x  ( n + 1 )  x  ( n - 1 ) ] . In this equation, Ēsignal represents the average TEO energy of the signal; N represents the number of frames in the signal; x(n) represents a magnitude of the signal with respect to an nth frame; x(n+1) represents a magnitude of the signal with respect to an (n+1)th frame; and x(n−1) represents a magnitude of the signal with respect to an (n−1)th frame.
    • 本文描述了基于Teager能量比提供多通道噪声抑制的技术。 Teager能量比是第一信号的平均Teager能量算子(TEO)能量与第二信号的平均TEO能量的比率。 信号的平均TEO能量由以下等式定义:E _ signal = 1NΣΣ= 1 N(n + 1)x(n-1) ]。 在这个方程式中,Ēsignal代表信号的平均TEO能量; N表示信号中的帧数; x(n)表示相对于第n帧的信号的幅度; x(n + 1)表示相对于第(n + 1)帧的信号的幅度; x(n-1)表示相对于第(n-1)帧的信号的幅度。