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NIPS
2004
13 years 9 months ago
Hierarchical Eigensolver for Transition Matrices in Spectral Methods
We show how to build hierarchical, reduced-rank representation for large stochastic matrices and use this representation to design an efficient algorithm for computing the largest...
Chakra Chennubhotla, Allan D. Jepson
ICA
2004
Springer
14 years 1 months ago
Blind Separation of Nonstationary Sources by Spectral Decorrelation
Abstract. This paper demonstrates and exploits some interesting frequency-domain properties of nonstationary signals. Considering these properties, two new methods for blind separa...
Shahram Hosseini, Yannick Deville
ICASSP
2009
IEEE
14 years 2 months ago
Connecting spectral and spring methods for manifold learning
Diffusion Maps (DiffMaps) has recently provided a general framework that unites many other spectral manifold learning algorithms, including Laplacian Eigenmaps, and it has become ...
Shannon M. Hughes, Peter J. Ramadge
ICASSP
2009
IEEE
14 years 2 months ago
Incorporating spectral subtraction and noise type for unvoiced speech segregation
Unvoiced speech poses a big challenge to current monaural speech segregation systems. It lacks harmonic structure and is highly susceptible to interference due to its relatively w...
Ke Hu, DeLiang Wang
ICASSP
2009
IEEE
14 years 2 months ago
Two microphone based direction of arrival estimation for multiple speech sources using spectral properties of speech
A two microphone direction of arrival (DOA) estimation technique for multiple speech sources is developed which exploits speech specific properties, namely sparsity in time-frequ...
Wenyi Zhang, Bhaskar D. Rao