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    • 11. 发明授权
    • Apparatus and method for separating sound source
    • 声源分离装置及方法
    • US09049532B2
    • 2015-06-02
    • US13276974
    • 2011-10-19
    • Min Je KimSeung Kwon BeackIn Seon JangTae Jin LeeKyeong Ok Kang
    • Min Je KimSeung Kwon BeackIn Seon JangTae Jin LeeKyeong Ok Kang
    • G06F17/00H04S7/00G10L19/008
    • H04S7/30G10H2210/056G10L19/008
    • Disclosed are an apparatus and a method for separating sound sources capable of learning distributions of corresponding sound sources based on the assumption that specific sound sources have specific distributions based on interchannel correlation parameter in audio signals providing space perception through a plurality of channels to separate an amount corresponding to energy contribution of the corresponding sound sources from mixture signals. Exemplary embodiments of the present invention can more precisely predict the channel distributions of the specific sound sources included in the input mixture signals and more accurately separate sound sources than a method for separating a sound source based on the channel according to the related art, under conditions that general channel distribution information of the specific sound sources are approximately modeled.
    • 公开了一种用于分离能够学习相应声源的分布的声源的装置和方法,所述设备和方法基于以下假设:特定声源具有基于通过多个声道提供空间感知的音频信号中的通道间相关参数的特定分布,以分离数量 对应于来自混合信号的相应声源的能量贡献。 本发明的示例性实施例可以根据现有技术更准确地预测包括在输入混合信号中的特定声源的信道分布和更准确地分离声源,而不是根据现有技术在信道上分离声源的方法 特定声源的通用通道分配信息被大致建模。
    • 12. 发明申请
    • APPARATUS AND METHOD FOR SEPARATING SOUND SOURCE
    • 用于分离声源的装置和方法
    • US20120093341A1
    • 2012-04-19
    • US13276974
    • 2011-10-19
    • Min Je KIMSeung Kwon BEACKIn Seon JANGTae Jin LEEKyeong Ok KANG
    • Min Je KIMSeung Kwon BEACKIn Seon JANGTae Jin LEEKyeong Ok KANG
    • H04B15/00
    • H04S7/30G10H2210/056G10L19/008
    • Disclosed are an apparatus and a method for separating sound sources capable of learning distributions of corresponding sound sources based on the assumption that specific sound sources have specific distributions based on interchannel correlation parameter in audio signals providing space perception through a plurality of channels to separate an amount corresponding to energy contribution of the corresponding sound sources from mixture signals. Exemplary embodiments of the present invention can more precisely predict the channel distributions of the specific sound sources included in the input mixture signals and more accurately separate sound sources than a method for separating a sound source based on the channel according to the related art, under conditions that general channel distribution information of the specific sound sources are approximately modeled.
    • 公开了一种用于分离能够学习相应声源的分布的声源的装置和方法,所述设备和方法基于以下假设:特定声源具有基于通过多个声道提供空间感知的音频信号中的通道间相关参数的特定分布,以分离数量 对应于来自混合信号的相应声源的能量贡献。 本发明的示例性实施例可以根据现有技术更准确地预测包括在输入混合信号中的特定声源的信道分布和更准确地分离声源,而不是根据现有技术在信道上分离声源的方法 特定声源的通用通道分配信息被大致建模。
    • 15. 发明授权
    • Convolutive blind source separation using relative optimization
    • 卷积盲源分离使用相对优化
    • US07738574B2
    • 2010-06-15
    • US11478212
    • 2006-06-29
    • In-Seon JangKi-Joeng NamHee-Youl ChoiSeung-Jin ChoiKyeong-Ok Kang
    • In-Seon JangKi-Joeng NamHee-Youl ChoiSeung-Jin ChoiKyeong-Ok Kang
    • H04B1/10
    • G06K9/6243G06K9/6245
    • A method and apparatus for separating a multi-channel mixed signal are provided. The method includes the steps of: a) transforming a temporal domain to a frequency domain by performing a discrete Fourier transform onto at least one of mixed signals inputted from an external device through multi-channel; b) estimating multi-decorrelation by calculating a plurality of cross power spectra for the mixed signal in the transformed frequency domain; c) estimating a separation coefficient of the mixed signal based on relative optimization in order to decorrelate the calculated cross power spectra, where the separation coefficient is serially updated; d) transforming the frequency domain to the temporal domain by performing an inverse discrete Fourier transform on the estimated separation coefficient in the temporal domain; and e) separating an original signal from the mixed signal by filtering the mixed signal using the separation coefficient of the transformed temporal domain.
    • 提供了一种用于分离多通道混合信号的方法和装置。 该方法包括以下步骤:a)通过对通过多信道从外部设备输入的混合信号中的至少一个进行离散付里叶变换,将时域转换为频域; b)通过计算变换频域中的混合信号的多个交叉功率谱来估计多重相关; c)基于相对优化来估计混合信号的分离系数,以便将所计算的交叉功率谱解相关,其中分离系数被连续更新; d)通过对时域中估计的分离系数执行逆离散傅立叶变换,将频域变换到时域; 以及e)使用所述变换的时域的分离系数对所述混合信号进行滤波,从所述混合信号中分离原始信号。
    • 20. 发明申请
    • Convolutive blind source separation using relative optimization
    • 卷积盲源分离使用相对优化
    • US20070058737A1
    • 2007-03-15
    • US11478212
    • 2006-06-29
    • In-Seon JangKi-Joeng NamHee-Youl ChoiSeung-Jin ChoiKyeong-Ok Kang
    • In-Seon JangKi-Joeng NamHee-Youl ChoiSeung-Jin ChoiKyeong-Ok Kang
    • H04K1/10H04L27/06
    • G06K9/6243G06K9/6245
    • A method and apparatus for separating a multi-channel mixed signal are provided. The method includes the steps of: a) transforming a temporal domain to a frequency domain by performing a discrete Fourier transform onto at least one of mixed signals inputted from an external device through multi-channel; b) estimating multi-decorrelation by calculating a plurality of cross power spectra for the mixed signal in the transformed frequency domain; c) estimating a separation coefficient of the mixed signal based on relative optimization in order to decorrelate the calculated cross power spectra, where the separation coefficient is serially updated; d) transforming the frequency domain to the temporal domain by performing an inverse discrete Fourier transform on the estimated separation coefficient in the temporal domain; and e) separating an original signal from the mixed signal by filtering the mixed signal using the separation coefficient of the transformed temporal domain.
    • 提供了一种用于分离多通道混合信号的方法和装置。 该方法包括以下步骤:a)通过对通过多信道从外部设备输入的混合信号中的至少一个进行离散付里叶变换,将时域转换为频域; b)通过计算变换频域中的混合信号的多个交叉功率谱来估计多重相关; c)基于相对优化来估计混合信号的分离系数,以便将所计算的交叉功率谱解相关,其中分离系数被连续更新; d)通过对时域中估计的分离系数执行逆离散傅立叶变换,将频域变换到时域; 以及e)使用所述变换的时域的分离系数对所述混合信号进行滤波,从所述混合信号中分离原始信号。