Mixture model
Speech to Text Converter Using Gaussian Mixture Model(GMM)
... the model, it returns one centriod for each of the cluster K and refers to the cluster number closest to ...GMM model are produced iteratively by expectation-maximization(EM) ...
5
Predicting Precipitation Events Using Gaussian Mixture Model
... Gaussian mixture model (GMM) based classifier is described to tell whether precipitation events will happen on a certain day at a certain time from historical meteorological ...
9
A SPEAKER RECOGNITION SYSTEM USING GAUSSIAN MIXTURE MODEL
... Abstract—Automatic speaker recognition system identifies a person from the information contained in the speech signal. These systems are the most user-friendly means of biometric recognition and are being used in ...
6
BLIND SOURCE SEPARATUION BASED ON THE WEIBULL MIXTURE MODEL
... statistical model of the sources at hand is still an open and challenging problem ...Gaussian mixture model (GMM) [5], the generalized gamma density (GGD) ...example Mixture Weibull Density ...
8
Cross Lingual Mixture Model for Sentiment Classification
... cross-lingual mixture model (CLMM) for cross-lingual sentiment classifi- ...generative model that treats the source language and target language words in parallel data as gener- ated simultaneously ...
10
Sequence to Sequence Mixture Model for Diverse Machine Translation
... sequence mixture (S2SM IX ) model that improves both translation quality and diversity by adopt- ing a committee of specialized translation models rather than a single translation ...our mixture ...
10
Document Classification Using a Finite Mixture Model
... Experimental results indicate that our method of using the finite mixture model outperforms the method based on hard clustering of words.. Experimental results also indicate that in some[r] ...
9
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 ...
6
EMOTION DETECTION IN SPEECH USING GAUSSIAN MIXTURE MODEL
... Gaussian Mixture Model (GMM) is a parametric probability density function represented as a weighted sum of Gaussian component ...parametric model of the probability distribution of continuous ...
12
A Gaussian mixture model for automated corrosion detection in remanufacturing
... Gaussian mixture model is trained on a novel set of image features, specifically designed for the task of corrosion detection in used ...probabilistic model is used to segment images of automotive ...
7
Neighborhood Mixture Model for Knowledge Base Completion
... our model significantly improves TransE and obtains better results than the other state-of-the-art embedding models on triple classification, entity prediction and relation prediction ...neighborhood ...
11
Fuzzy Weighted Gaussian Mixture Model for Feature Reduction
... Gaussian Mixture Model (FWGMM) based on the Gaussian Mixture ...This model helps to find relevant features by using Fuzzy ordered weighted average, which leads to determine the similarity of ...
7
Maximum Likelihood Estimation of the Multivariate Normal Mixture Model
... normal mixture model, and use the results to estimate the infor- mation ...a mixture of two (rather then g) univariate (rather than multivariate) normal ...
26
CRISPhieRmix: a hierarchical mixture model for CRISPR pooled screens
... cal mixture model ...the model and, when guide effects are variable, both decreases the false discovery rate and increases the true positive rate on simulated ...clearer mixture distribution ...
13
A logistic mixture model for a family based association study
... logistic mixture model that regresses the trait value on the genotypic values of markers under investigation and other covariates such as environmental ...new model by simulating nuclear families ...
5
Speech based Emotion Recognition with Gaussian Mixture Model
... Gaussian mixture model (GMM model) which allows training the desired data set from the ...recognition model when large number of feature vector is ...a model is generated, conditional ...
5
A mixture model for payments and payment numbers in claims reserving
... the mixture model are steadily increasing along the accident years, those of the DGLM are sub- stantially increasing along the most recent accident years and the increment is particularly sharp in the last ...
29
Research on Initialization on EM Algorithm Based on Gaussian Mixture Model
... DOI: 10.4236/jamp.2018.61002 12 Journal of Applied Mathematics and Physics algorithm has an obvious shortcoming: it is very sensitive to the initial value. Therefore, in order to get the parameter estimation of the ...
7
Comparative Study of Mixture model and Eulerian Model used in Hydrocyclone with the help of CFD Simulation
... fluid, Mixture and Eulerian ...Stress Model (RSM). The hydrocyclone model has been designed in Creo ...the Mixture and Eulerian model are the basic focus of this research ...multiphase ...
8
Asymmetric Laplace-Normal Mixture Model for Wind Shear Data
... A mixture model with Laplace and Normal distributions fitted to the data obtained from a civil airline is ...above mixture model with asymmetric Laplace distribution, a skewed version of ...
6