SOURCE SEPARATION BY INDEPENDENT COMPONENT ANALYSIS IN CONJUCTION WITH OPTIMIZATION OF ACOUSTIC ECHO CANCELLATION
    1.
    发明申请
    SOURCE SEPARATION BY INDEPENDENT COMPONENT ANALYSIS IN CONJUCTION WITH OPTIMIZATION OF ACOUSTIC ECHO CANCELLATION 审中-公开
    通过独立分量分析与优化耳蜗消除的优化分离

    公开(公告)号:US20130294611A1

    公开(公告)日:2013-11-07

    申请号:US13464842

    申请日:2012-05-04

    IPC分类号: H04B3/20

    摘要: Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract source signals from mixtures of source signals and perform acoustic echo cancellation. Independent component analysis may be used to perform the source separation in conjunction with acoustic echo cancellation on the time-frequency domain mixed signals to generate at least one estimated source signal corresponding to at least one of the original source signals. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

    摘要翻译: 公开了用于信号处理的方法和装置。 可以执行源分离以从源信号的混合中提取源信号并执行声回波消除。 可以使用独立分量分析来结合在时间 - 频域混合信号上的声学回波消除来执行源分离,以产生对应于至少一个原始信号源的至少一个估计的源信号。 要强调的是,该摘要被提供以符合要求抽象的规则,允许搜索者或其他读者快速确定技术公开内容的主题。 提交它的理解是,它不会用于解释或限制权利要求的范围或含义。

    Source separation by independent component analysis in conjunction with source direction information
    2.
    发明授权
    Source separation by independent component analysis in conjunction with source direction information 有权
    源分离与独立成分分析结合源方向信息

    公开(公告)号:US08880395B2

    公开(公告)日:2014-11-04

    申请号:US13464828

    申请日:2012-05-04

    IPC分类号: G10L21/00

    CPC分类号: G10L21/0272

    摘要: Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract source signals from mixtures of source signals by way of independent component analysis. Source direction information is utilized in the separation process, and independent component analysis techniques described herein use multivariate probability density functions to preserve the alignment of frequency bins in the source separation process. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

    摘要翻译: 公开了用于信号处理的方法和装置。 可以通过独立分量分析来执行源分离以从源信号的混合中提取源信号。 在分离过程中使用源方向信息,并且本文描述的独立分量分析技术使用多变量概率密度函数来保持源分离过程中频率仓的对准。 要强调的是,该摘要被提供以符合要求抽象的规则,允许搜索者或其他读者快速确定技术公开内容的主题。 提交它的理解是,它不会用于解释或限制权利要求的范围或含义。

    Source separation using independent component analysis with mixed multi-variate probability density function
    3.
    发明授权
    Source separation using independent component analysis with mixed multi-variate probability density function 有权
    源分离采用独立分量分析与混合多变量概率密度函数

    公开(公告)号:US08886526B2

    公开(公告)日:2014-11-11

    申请号:US13464833

    申请日:2012-05-04

    IPC分类号: G10L21/02

    摘要: Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract source signals from mixtures of source signals by way of independent component analysis. Source separation described herein involves mixed multivariate probability density functions that are mixtures of component density functions having different parameters corresponding to frequency components of different sources, different time segments, or some combination thereof.

    摘要翻译: 公开了用于信号处理的方法和装置。 可以通过独立分量分析来执行源分离以从源信号的混合中提取源信号。 本文描述的源分离涉及混合多元概率密度函数,其是具有对应于不同源的频率分量,不同时间段或其某些组合的不同参数的组分密度函数的混合。

    SOURCE SEPARATION USING INDEPENDENT COMPONENT ANALYSIS WITH MIXED MULTI-VARIATE PROBABILITY DENSITY FUNCTION
    4.
    发明申请
    SOURCE SEPARATION USING INDEPENDENT COMPONENT ANALYSIS WITH MIXED MULTI-VARIATE PROBABILITY DENSITY FUNCTION 有权
    使用具有混合多变概率密度函数的独立分量分析的源分离

    公开(公告)号:US20130297298A1

    公开(公告)日:2013-11-07

    申请号:US13464833

    申请日:2012-05-04

    IPC分类号: G10L19/14

    摘要: Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract source signals from mixtures of source signals by way of independent component analysis. Source separation described herein involves mixed multivariate probability density functions that are mixtures of component density functions having different parameters corresponding to frequency components of different sources, different time segments, or some combination thereof.

    摘要翻译: 公开了用于信号处理的方法和装置。 可以通过独立分量分析来执行源分离以从源信号的混合中提取源信号。 本文描述的源分离涉及混合多元概率密度函数,其是具有对应于不同源的频率分量,不同时间段或其某些组合的不同参数的组分密度函数的混合。

    Source separation by independent component analysis with moving constraint
    5.
    发明授权
    Source separation by independent component analysis with moving constraint 有权
    源分离采用独立分量分析与移动约束

    公开(公告)号:US09099096B2

    公开(公告)日:2015-08-04

    申请号:US13464848

    申请日:2012-05-04

    IPC分类号: G10L21/02 G10L21/0272

    CPC分类号: G10L21/0272

    摘要: Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract moving source signals from mixtures of source signals by way of independent component analysis. Source motion is modeled by direct to reverberant ratio in the separation process, and independent component analysis techniques described herein use multivariate probability density functions to preserve the alignment of frequency bins in the source separation process.

    摘要翻译: 公开了用于信号处理的方法和装置。 可以通过独立分量分析来执行源分离以从源信号的混合中提取移动源信号。 源运动由分离过程中直接与混响比建模,本文所述的独立分量分析技术使用多变量概率密度函数来保持源分离过程中频率仓的对齐。

    SOURCE SEPARATION BY INDEPENDENT COMPONENT ANALYSIS IN CONJUNCTION WITH SOURCE DIRECTION INFORMATION
    6.
    发明申请
    SOURCE SEPARATION BY INDEPENDENT COMPONENT ANALYSIS IN CONJUNCTION WITH SOURCE DIRECTION INFORMATION 有权
    独立分量分析与源方向信息的分离

    公开(公告)号:US20130297296A1

    公开(公告)日:2013-11-07

    申请号:US13464828

    申请日:2012-05-04

    IPC分类号: G10L19/02

    CPC分类号: G10L21/0272

    摘要: Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract source signals from mixtures of source signals by way of independent component analysis. Source direction information is utilized in the separation process, and independent component analysis techniques described herein use multivariate probability density functions to preserve the alignment of frequency bins in the source separation process. It is emphasized that this abstract is provided to comply with the rules requiring an abstract that will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

    摘要翻译: 公开了用于信号处理的方法和装置。 可以通过独立分量分析来执行源分离以从源信号的混合中提取源信号。 在分离过程中使用源方向信息,并且本文描述的独立分量分析技术使用多变量概率密度函数来保持源分离过程中频率仓的对准。 要强调的是,该摘要被提供以符合要求抽象的规则,允许搜索者或其他读者快速确定技术公开内容的主题。 提交它的理解是,它不会用于解释或限制权利要求的范围或含义。

    SOURCE SEPARATION BY INDEPENDENT COMPONENT ANALYSIS WITH MOVING CONSTRAINT
    7.
    发明申请
    SOURCE SEPARATION BY INDEPENDENT COMPONENT ANALYSIS WITH MOVING CONSTRAINT 有权
    通过独立分量分析与移动约束的源分离

    公开(公告)号:US20130294608A1

    公开(公告)日:2013-11-07

    申请号:US13464848

    申请日:2012-05-04

    IPC分类号: H04R29/00

    CPC分类号: G10L21/0272

    摘要: Methods and apparatus for signal processing are disclosed. Source separation can be performed to extract moving source signals from mixtures of source signals by way of independent component analysis. Source motion is modeled by direct to reverberant ratio in the separation process, and independent component analysis techniques described herein use multivariate probability density functions to preserve the alignment of frequency bins in the source separation process.

    摘要翻译: 公开了用于信号处理的方法和装置。 可以通过独立分量分析来执行源分离以从源信号的混合中提取移动源信号。 源运动由分离过程中直接与混响比建模,本文所述的独立分量分析技术使用多变量概率密度函数来保持源分离过程中频率仓的对齐。