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TASLP
2008
98views more  TASLP 2008»
13 years 6 months ago
Unsupervised Single-Channel Music Source Separation by Average Harmonic Structure Modeling
Source separation of musical signals is an appealing but difficult problem, especially in the single-channel case. In this paper, an unsupervised single-channel music source separa...
Zhiyao Duan, Yungang Zhang, Changshui Zhang, Zhenw...
TASLP
2011
13 years 1 months ago
Source-Filter-Based Single-Channel Speech Separation Using Pitch Information
—In this paper, we investigate the source–filter-based approach for single-channel speech separation. We incorporate source-driven aspects by multi-pitch estimation in the mod...
Michael Stark, Michael Wohlmayr, Franz Pernkopf
ICCAD
2009
IEEE
133views Hardware» more  ICCAD 2009»
13 years 3 months ago
A parallel preconditioning strategy for efficient transistor-level circuit simulation
A parallel computing approach for large-scale SPICE-accurate circuit simulation is described that is based on a new preconditioned iterative solver. The preconditioner involves the...
Heidi Thornquist, Eric R. Keiter, Robert J. Hoekst...
BMCBI
2010
148views more  BMCBI 2010»
13 years 6 months ago
Structuring heterogeneous biological information using fuzzy clustering of k-partite graphs
Background: Extensive and automated data integration in bioinformatics facilitates the construction of large, complex biological networks. However, the challenge lies in the inter...
Mara L. Hartsperger, Florian Blöchl, Volker S...
IJCNN
2000
IEEE
13 years 10 months ago
ICA for Noisy Neurobiological Data
ICA (Independent Component Analysis) is a new technique for analyzing multi-variant data. Lots of results are reported in the field of neurobiological data analysis such as EEG (...
Shiro Ikeda, Keisuke Toyama