Methods and apparatus for multiple source signal separation
a signal separation and multiple source technology, applied in the field of source separation techniques, can solve the problems of unwanted source signals interfering with a desired source signal, unable to use non-linear mixture techniques, and blind approaches to source separation, so as to improve source separation techniques
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[0020]The present invention will be explained below in the context of an illustrative speech recognition application. Further, the illustrative speech recognition application is considered to be “codebook dependent.” It is to be understood that the phrase “codebook dependent” refers to the use of a mixture of Gaussians to model the probability density function of each source signal. The codebook associated to a source signal comprises a collection of codewords characterizing this source signal. Each codeword is specified by its prior probability and by the parameters of a Gaussian distribution: a mean and a covariance matrix. In other words, a mixture of Gaussians is equivalent to a codebook.
[0021]However, it is to be further understood that the present invention is not limited to this or any particular application. Rather, the invention is more generally applicable to any application in which it is desirable to perform a source separation process which does not assume a linear mixing
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