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ICASSP
2011
IEEE
12 years 11 months ago
A partial least squares framework for speaker recognition
Modern approaches to speaker recognition (verification) operate in a space of “supervectors” created via concatenation of the mean vectors of a Gaussian mixture model (GMM) a...
Balaji Vasan Srinivasan, Dmitry N. Zotkin, Ramani ...
FINTAL
2006
13 years 11 months ago
Language Model Mixtures for Contextual Ad Placement in Personal Blogs
Abstract. We introduce a method for content-based advertisement selection for personal blog pages, based on combining multiple representations of the blog. The core idea behind the...
Gilad Mishne, Maarten de Rijke
COLING
2010
13 years 2 months ago
Latent Mixture of Discriminative Experts for Multimodal Prediction Modeling
During face-to-face conversation, people naturally integrate speech, gestures and higher level language interpretations to predict the right time to start talking or to give backc...
Derya Ozkan, Kenji Sagae, Louis-Philippe Morency
ICASSP
2011
IEEE
12 years 11 months ago
Loquendo - Politecnico di Torino's 2010 NIST speaker recognition evaluation system
This paper describes the improvement introduced in the Loquendo–Politecnico di Torino (LPT) speaker recognition system submitted to the NIST SRE10 evaluation campaign. This syst...
Fabio Castaldo, Daniele Colibro, Claudio Vair, San...
ICASSP
2011
IEEE
12 years 11 months ago
Structured precision modelling with Cholesky Basis Superposition for speech recognition
Structured precision modelling is an important approach to improve the intra-frame correlation modelling of the standard HMM, where Gaussian mixture model with diagonal covariance...
Lei Jia, Kai Yu, Bo Xu