118 search results - page 4 / 24 » Improved language recognition using mixture components stati... |
107
Voted
DSP
2008
14 years 10 months ago
2008
In this paper we present a methodical evaluation of the performance of a new and two traditional approaches to automatic target recognition (ATR) based on silhouette representatio...
ICPR
2010
IEEE
15 years 6 months ago
2010
IEEE
The Gaussian Mixture Model (GMM) is often used in conjunction with Mel-frequency cepstral coefficient (MFCC) feature vectors for speaker recognition. A great challenge is to use ...
ICASSP
2008
IEEE
15 years 6 months ago
2008
IEEE
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)...
81
Voted
TSP
2008
14 years 11 months ago
2008
In this paper, the expectation-maximization (EM) algorithm for Gaussian mixture modeling is improved via three statistical tests. The first test is a multivariate normality criteri...
ICPR
2010
IEEE
14 years 9 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...