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» A Dynamic Separator Algorithm
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IJCNN
2000
IEEE
15 years 4 months ago
A Constraint Learning Algorithm for Blind Source Separation
In Jutten’s blind separation algorithm, symmetrical distribution and statistical independence of the signal sources are assumed. When they are not satisfied, the learning proce...
Kenji Nakayama, Akihiro Hirano, Motoki Nitta
ISCAS
2006
IEEE
102views Hardware» more  ISCAS 2006»
15 years 6 months ago
Eigenvector algorithms using reference signals for blind source separation of instantaneous mixtures
— This paper presents an eigenvector algorithm (EVA) derived from a criterion using reference signals, in which the EVA is applied to the blind source separation (BSS) of instant...
Mitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye
TASLP
2010
96views more  TASLP 2010»
14 years 7 months ago
Evaluating Source Separation Algorithms With Reverberant Speech
This paper examines the performance of several source separation systems on a speech separation task for which human intelligibility has previously been measured. For anechoic mixt...
Michael I. Mandel, S. Bressler, Barbara G. Shinn-C...
88
Voted
COLT
2008
Springer
15 years 2 months ago
On the Equivalence of Weak Learnability and Linear Separability: New Relaxations and Efficient Boosting Algorithms
Boosting algorithms build highly accurate prediction mechanisms from a collection of lowaccuracy predictors. To do so, they employ the notion of weak-learnability. The starting po...
Shai Shalev-Shwartz, Yoram Singer
108
Voted
ISCAS
2005
IEEE
122views Hardware» more  ISCAS 2005»
15 years 6 months ago
F-SEONS: a second-order frequency-domain algorithm for noisy convolutive source separation
— We present a frequency-domain method of noisy convolutive source separation, where we extends the SEONS algorithm [2] that jointly exploits the nonstationarity and temporal str...
Inseon Jang, Kyeongok Kang, Sangki Kim, Seungjin C...