gaussian mixture model
Speaker Recognition using Gaussian Mixture Model
... Abstract- Speaker recognition is a term which is most popular in biometric recognition technique that tends to identify and verify a speaker from his/her speech data. Speaker recognition system uses mechanism to ...
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Enhancing Clustering Mechanism by Implementation of EM Algorithm for Gaussian Mixture Model
... A mixture model has been explain by assuming that every observed data point had a corresponding unobserved data point, or latent variable, specifying mixture component that each data point belongs ...
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Application of Mean-Square Approximation for Piecewise Linear Optimal Compander Design for Gaussian Source and Gaussian Mixture Model
... Abstract. This paper proposes a novel piecewise linear optimal compander design method based on the mean- square approximation of the first derivative of the optimal compressor function. Designing of the piecewise linear ...
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An Emotion Recognition System based on Right Truncated Gaussian Mixture Model
... Truncated Gaussian Mixture ...Truncated Gaussian mixture are generated, the test signal is considered and the PDF values of the test signals are classified to ascertain the ...
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Application of -means and Gaussian mixture model for classification of seismic activities in Istanbul
... namely Gaussian mixture model, k-means and two algo- rithms of discriminant functions including QDF, in order to distinguish microearthquakes from quarry blasts in the vicin- ity of ...
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Image segmentation-MR Images Segmentation with A Modified Gaussian Mixture Model
... Abstract---This chapter describes a method of segmenting MR images into different tissue classes, using a modified Gaussian Mixture Model. By knowing the prior spatial probability of each voxel being ...
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PET image segmentation using a Gaussian mixture model and Markov random fields
... basic model, yielding fairly good initial ...a Gaussian mixture model (EMGMM) using information from the analysis of phantom ...a Gaussian MRF, using Gibbs distri- butions to obtain the ...
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Medical Image Segmentation of Cardiac Quiescent by using Gaussian Mixture Model
... The projected work intense only in finding the outflow of blood from the Mitral Valve (MV) and is generally called as Mitral Regurgitation (MR). Through the echocardiographic video, the outflow is traced and segmented. ...
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Low-dimensional representation of Gaussian mixture model supervector for language recognition
... In this article, we propose a new feature which could be used for the framework of SVM-based language recognition, by introducing the idea of total variability used in speaker recognition to language recognition. We ...
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Adaptive Background Subtraction using Fuzzy based Gaussian Mixture Model
... the Gaussian Mixture Model (GMM) is the mostly used model due to its robustness to various challenges and good computation and memory ...requirements. Gaussian basically is a ...
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Segmentation of multi temporal images using gaussian mixture model (GMM)
... Segmentation of multi-temporal images is done using curvelet transformation & Gaussian Mixture Model (GMM). A comparison study has been made between the accuracy values of segmentation ...
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Individual pig object detection algorithm based on Gaussian mixture model
... of Gaussian mixture model (GMM) states that due to the influence of environmental factors, the gray value of each pixel in the video image will change with the ...multiple Gaussian ...
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SAR image change detection using Gaussian mixture model with spatial information
... using Gaussian mixture model (GMM) with spatial information is ...Thirdly, Gaussian Mixture Model is used for segmentation of the difference image in which the parameters are ...
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CRIMINAL MAPPING BASED ON FORENSIC EVIDENCES USING GENERALIZED GAUSSIAN MIXTURE MODEL
... Generalized Gaussian Mixture Model The Features obtained from the finger prints are considered and the Probability Density Function is calculated, This PDF is matched with that of the existing ...
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Modified Unsupervised Image Segmentation based on Gaussian Mixture Model for Traffic Surveillance Applications
... A visual traffic surveillance application oriented, probabilistic approach based large scale moving objects strategy has been presented in this paper. The modified proposal of an unsupervised color image segmentation ...
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Speaker Recognition by Combining Gaussian Mixture Model (GMM) Spectral Representation and Phase Information
... A Gaussian Mixture Model (GMM)[4] is a parametric probability density function represented as a weighted sum of Gaussian component ...parametric model of the probability distribution of ...
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Satellite Image Resolution Enhancement Using Discrete Wavelet Transform and Gaussian Mixture Model
... of Gaussian component ...parametric model of the probability distribution of continuous ...complete Gaussian mixture model is parameterized by the mean vectors, covariance matrices and ...
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Multilingual Blended Speech Recognition using Gaussian Mixture Model for Non-Dictionary Words
... the Gaussian Mixture Model (GMC) is a standout amongst the most well-known component portrayals in speech acknowledgment [Davis and Mermelstein, ...
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IMAGE SEGMENTATION BY USING FINITE BIVARIATE DOUBLY TRUNCATED GAUSSIAN MIXTURE MODEL
... The commonly used approach for determining the parameters of a finite doubly truncated Gaussian mixture model from a given dataset is to use the maximum-likelihood estimation [1]. The EM algorithm is ...
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ABANDONED OBJECT DETECTION IN SURVEILLANCE VIDEOUSING GAUSSIAN MIXTURE MODEL AND KALMAN FILTER
... The mixture of Gaussians background subtraction method is employed to detect both background and static foregrounds by using the same Gaussian mixture ...background model and the foreground ...
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