Blind Separation of Speech by Fixed-Point ICA with Source Adaptive Negentropy Approximation
نویسندگان
چکیده
منابع مشابه
Blind Separation of Speech by Fixed-Point ICA with Source Adaptive Negentropy Approximation
This paper presents a study on the blind separation of a convoluted mixture of speech signals using Frequency Domain Independent Component Analysis (FDICA) algorithm based on the negentropy maximization of Time Frequency Series of Speech (TFSS). The comparative studies on the negentropy approximation of TFSS using generalized Higher Order Statistics (HOS) of different nonquadratic, nonlinear fu...
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ژورنال
عنوان ژورنال: IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
سال: 2005
ISSN: 0916-8508,1745-1337
DOI: 10.1093/ietfec/e88-a.7.1683