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FINTAL
2006
13 years 10 months ago
A Straightforward Method for Automatic Identification of Marginalized Languages
Spoken language identification consists in recognizing a language based on a sample of speech from an unknown speaker. The traditional approach for this task mainly considers the p...
Ana Lilia Reyes-Herrera, Luis Villaseñor Pi...
SIGPRO
2010
111views more  SIGPRO 2010»
13 years 1 months ago
Semi-supervised speaker identification under covariate shift
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of non-stationarity such as session dependent variation, the recor...
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
ICASSP
2009
IEEE
14 years 1 months ago
Covariate shift adaptation for semi-supervised speaker identification
In this paper, we propose a novel semi-supervised speaker identification method that can alleviate the influence of nonstationarity such as session dependent variation, the reco...
Makoto Yamada, Masashi Sugiyama, Tomoko Matsui
ICPR
2010
IEEE
13 years 9 months ago
A Discriminative and Heteroscedastic Linear Feature Transformation for Multiclass Classification
This paper presents a novel discriminative feature transformation, named full-rank generalized likelihood ratio discriminant analysis (fGLRDA), on the grounds of the likelihood ra...
Hung-Shin Lee, Hsin-Min Wang, Berlin Chen
PAKDD
2005
ACM
184views Data Mining» more  PAKDD 2005»
14 years 11 days ago
Adjusting Mixture Weights of Gaussian Mixture Model via Regularized Probabilistic Latent Semantic Analysis
Mixture models, such as Gaussian Mixture Model, have been widely used in many applications for modeling data. Gaussian mixture model (GMM) assumes that data points are generated fr...
Luo Si, Rong Jin