118 search results - page 4 / 24 » Improved language recognition using mixture components stati... |
DSP
2008
13 years 4 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
14 years 20 days 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
14 years 3 days 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)...
TSP
2008
13 years 5 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
13 years 3 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...