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ICASSP
2010
IEEE
15 years 7 months ago
Non-parallel training for many-to-many eigenvoice conversion
This paper presents a novel training method of an eigenvoice Gaussian mixture model (EV-GMM) effectively using non-parallel data sets for many-to-many eigenvoice conversion, which...
Yamato Ohtani, Tomoki Toda, Hiroshi Saruwatari, Ki...
ICASSP
2010
IEEE
15 years 7 months ago
Sparse signal recovery in the presence of correlated multiple measurement vectors
Sparse signal recovery algorithms utilizing multiple measurement vectors (MMVs) are known to have better performance compared to the single measurement vector case. However, curre...
Zhilin Zhang, Bhaskar D. Rao
BC
2007
113views more  BC 2007»
15 years 6 months ago
Akaike causality in state space
We present a new approach of explaining partial causality in multivariate fMRI time series by a state space model. A given single time series can be divided into two noise-driven ...
Kin Foon Kevin Wong, Tohru Ozaki
CORR
2010
Springer
207views Education» more  CORR 2010»
15 years 6 months ago
A Jamming-Resistant MAC Protocol for Multi-Hop Wireless Networks
This paper presents a simple local medium access control protocol, called Jade, for multi-hop wireless networks with a single channel that is provably robust against adaptive adver...
Andréa W. Richa, Christian Scheideler, Stef...
CORR
2008
Springer
132views Education» more  CORR 2008»
15 years 6 months ago
Building Better Nurse Scheduling Algorithms
The aim of this research is twofold: Firstly, to model and solve a complex nurse scheduling problem with an integer programming formulation and evolutionary algorithms. Secondly, ...
Uwe Aickelin, Paul White