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» Density Estimation Using Mixtures of Mixtures of Gaussians
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INTERSPEECH
2010
14 years 8 months ago
Bayesian speaker recognition using Gaussian mixture model and laplace approximation
This paper presents a Bayesian approach for Gaussian mixture model (GMM)-based speaker identification. Some approaches evaluate the speaker score of a test speech utterance using ...
Shih-Sian Cheng, I-Fan Chen, Hsin-Min Wang
102
Voted
ICASSP
2010
IEEE
15 years 2 months ago
An estimation method for the relative phase parameters of complex wavelet coefficients in noise
This paper proposes a method to estimate the parameters of the relative phase probability density function (RP pdf) of the complex coefficients when the image is corrupted by add...
Yothin Rakvongthai, Soontorn Oraintara
ICML
2005
IEEE
16 years 2 months ago
Supervised dimensionality reduction using mixture models
Given a classification problem, our goal is to find a low-dimensional linear transformation of the feature vectors which retains information needed to predict the class labels. We...
Sajama, Alon Orlitsky
GLOBECOM
2008
IEEE
15 years 8 months ago
Robustness Analysis of Source Localization Using Gaussianity Measure
Nowadays, the source localization has been widely applied for wireless sensor networks. The Gaussian mixture model has been adopted for maximum-likelihood (ML) source localization ...
Kun Yan, Hsiao-Chun Wu, S. S. Iyengar
130
Voted
ICMCS
2009
IEEE
189views Multimedia» more  ICMCS 2009»
14 years 11 months ago
Emotion recognition from speech VIA boosted Gaussian mixture models
Gaussian mixture models (GMMs) and the minimum error rate classifier (i.e. Bayesian optimal classifier) are popular and effective tools for speech emotion recognition. Typically, ...
Hao Tang, Stephen M. Chu, Mark Hasegawa-Johnson, T...