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ICCV
2009
IEEE
16 years 4 months ago
Heterogeneous Feature Machines for Visual Recognition
With the recent efforts made by computer vision researchers, more and more types of features have been designed to describe various aspects of visual characteristics. Modeling s...
Liangliang Cao, Jiebo Luo, Feng Liang, Thomas S. H...
ICPR
2008
IEEE
16 years 1 months ago
Rapid signer adaptation for continuous sign language recognition using a combined approach of eigenvoices, MLLR, and MAP
Current sign language recognition systems are still designed for signer-dependent operation only and thus suffer from the problem of interpersonal variability in production. Appli...
Christoph Blömer, Karl-Friedrich Kraiss, Ulri...
ICASSP
2011
IEEE
14 years 3 months ago
Acoustic model training for non-audible murmur recognition using transformed normal speech data
In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
Denis Babani, Tomoki Toda, Hiroshi Saruwatari, Kiy...
ICASSP
2008
IEEE
15 years 6 months ago
A multi-class MLLR kernel for SVM speaker recognition
Speaker recognition using support vector machines (SVMs) with features derived from generative models has been shown to perform well. Typically, a universal background model (UBM)...
Zahi N. Karam, William M. Campbell
INTERSPEECH
2010
14 years 6 months ago
Combining five acoustic level modeling methods for automatic speaker age and gender recognition
This paper presents a novel automatic speaker age and gender identification approach which combines five different methods at the acoustic level to improve the baseline performanc...
Ming Li, Chi-Sang Jung, Kyu Jeong Han