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» A new method for speaker adaptation using bilinear model
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ICASSP
2011
IEEE
14 years 1 months ago
Worst-case based robust adaptive beamforming for general-rank signal models using positive semi-definite covariance constraint
In this paper, we develop a new approach to the robust beamforming for general-rank signal models. Our method is based on the worst-case performance optimization using a semi-de n...
Haihua Chen, Alex B. Gershman
69
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ICASSP
2008
IEEE
15 years 4 months ago
Text-independent voice conversion based on state mapped codebook
Voice conversion has become more and more important in speech technology, but most of current works have to use parallel utterances of both source and target speaker as the traini...
Meng Zhang, Jianhua Tao, Jilei Tian, Xia Wang
NIPS
2001
14 years 11 months ago
An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
This paper describes a clustering algorithm for vector quantizers using a "stochastic association model". It offers a new simple and powerful softmax adaptation rule. Th...
Takashi Morie, Tomohiro Matsuura, Makoto Nagata, A...
CVPR
2008
IEEE
15 years 11 months ago
Semi-supervised learning of multi-factor models for face de-identification
With the emergence of new applications centered around the sharing of image data, questions concerning the protection of the privacy of people visible in the scene arise. Recently...
Ralph Gross, Latanya Sweeney, Fernando De la Torre...
CGF
2004
97views more  CGF 2004»
14 years 9 months ago
Image Interpolation by Pixel-Level Data-Dependent Triangulation
We present a novel image interpolation algorithm. The algorithm can be used in arbitrary resolution enhancement, arbitrary rotation and other applications of still images in conti...
Dan Su, Philip Willis