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ICASSP
2010
IEEE
14 years 10 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...
EOR
2006
59views more  EOR 2006»
14 years 9 months ago
Sensitivity analysis in linear optimization: Invariant support set intervals
Sensitivity analysis is one of the most interesting and preoccupying areas in optimization. Many attempts are made to investigate the problem's behavior when the input data c...
Alireza Ghaffari Hadigheh, Tamás Terlaky
SOCO
2008
Springer
14 years 9 months ago
GP on SPMD parallel graphics hardware for mega Bioinformatics data mining
Abstract We demonstrate a SIMD C++ genetic programming system on a single 128 node parallel nVidia GeForce 8800 GTX GPU under RapidMind's GPGPU Linux software by predicting te...
William B. Langdon, Andrew P. Harrison
DCC
2011
IEEE
14 years 4 months ago
Scalar Quantization for Relative Error
Quantizers for probabilistic sources are usually optimized for mean-squared error. In many applications, maintaining low relative error is a more suitable objective. This measure ...
John Z. Sun, Vivek K. Goyal
ICASSP
2011
IEEE
14 years 1 months ago
Robust and low-cost cascaded non-linear acoustic echo cancellation
This paper addresses the problem of acoustic echo cancellation in non-linear environments. The rst contribution relates to the use of a cascaded model which divides the loudspeake...
Moctar Mossi Idrissa, Christelle Yemdji, Nicholas ...