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ICA
2004
Springer
13 years 11 months ago
Frequency Domain Blind Source Separation for Many Speech Signals
This paper presents a method for solving the permutation problem of frequency domain blind source separation (BSS) when the number of source signals is large, and the potential sou...
Ryo Mukai, Hiroshi Sawada, Shoko Araki, Shoji Maki...
ICASSP
2011
IEEE
12 years 9 months ago
Clustering NMF basis functions using Shifted NMF for monaural sound source separation
Non-negative Matrix Factorization (NMF) has found use in single channel separation of audio signals, as it gives a parts-based decomposition of audio spectrograms where the parts ...
Rajesh Jaiswal, Derry Fitzgerald, Dan Barry, Eugen...
ISCAS
1999
IEEE
97views Hardware» more  ISCAS 1999»
13 years 10 months ago
Monaural separation of independent acoustical components
The problem of blindly separating signal mixtures with fewer mixture components than independent signal sources is mathematically ill-defined, and requires suitable prior informat...
Gert Cauwenberghs
ICASSP
2008
IEEE
14 years 2 days ago
Maximum a posteriori ICA: Applying prior knowledge to the separation of acoustic sources
Independent component analysis (ICA) for convolutive mixtures is often applied in the frequency domain due to the desirable decoupling into independent instantaneous mixtures per ...
Graham W. Taylor, Michael L. Seltzer, Alex Acero
NIPS
2003
13 years 7 months ago
Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron
We describe a system that localizes a single dipole to reasonable accuracy from noisy magnetoencephalographic (MEG) measurements in real time. At its core is a multilayer perceptr...
Sung C. Jun, Barak A. Pearlmutter