51 search results - page 3 / 11 » Acoustic fall detection using Gaussian mixture models and GM... |
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
In supervector UBM/GMM paradigm, each acoustic file is represented by the mean parameters of a GMM model. This supervector space is used as a data representation space, which has...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
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...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
—Discriminative Training (DT) methods for acoustic modeling, such as MMI, MCE, and SVM, have been proved effective in speaker recognition. In this paper we propose a DT method fo...
TRECVID
2007
13 years 6 months ago
2007
We describe a high level feature extraction system for video. Video sequences are modeled using Gaussian Mixture Models. We have used those models in the past to segment video seq...
DAGM
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. A vision based head tracking approach is presented, combining foreground information with an elliptical head model based on the integration of gradient and skin-color inf...