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Questions tagged [gmm]

For questions about Gaussian mixture models (GMMs).

For questions about Gaussian mixture models (GMMs).

199 questions
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gaussian mixture model from mfcc features

I am trying to create a GMM speaker model, using the MFCC features of an audio sample of a speaker. I have 18 dimensional MFCC features, for a particular speaker. To create a GMM model in Java, I have this GaussianMixture.java class, that…
satwick1995
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How to solve MemoryError in sklearn when fitting huge data to a GMM?

I am trying to generate a Universal Background Model (UBM) based on a huge array of extracted MFCC features but I keep getting aMemoryError when I am fitting my data to the model. Here is the relevant code section: files_features.shape (2469082,…
SuperKogito
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Gaussian Mixture Model - Singular matrix

During the calculation of a Gaussian Mixture Model I have to calculate the pdf() of the multivariate Gaussian distribution. I do this using the scipy multivariate_normal() method. Now during the calculations I encounter the situation that I get an…
2Obe
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pgmm function in plm package errors: "number of rows of matrices must match"

I am trying to estimate a system GMM equation on a sample capital structure data, which I have unabled open access on google drive. I simply load the data, eliminate "NAs", make it pdata.frame then run the below code. Packages I use are : plm and…
krkc_bhdr
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How to get Standard Deviation from each components in sklearn GMM after fit?

How to get Standard Deviation from each components in sklearn GMM after fit? model.fit(dataSet) model.means_ is the means of each components. model.weights_ is the co-efficient of each components. Where I can find the standard deviations of each…
Arun
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sklearn mixture.GMM in python using univariate GMM

In R, mclust has an argument 'modelNames' where you can define which model to implement. I wish to do a univariate modeling which is also modelNames <- 'V' in mclust under mixture.GMM in python. However, the only thing I find that I can tweak with…
Jeff The Liu
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Scikit-learn, GMM: Issue with return from .means_ attribute

So apparently.. the means_ attribute returns different results from the means I calculated per each cluster. (or I have a wrong understanding of what this returns!) Following is the code I wrote to check how GMM fits to the time series data I…
dia
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How to train multiple Gaussian Mixture Model in MATLAB

I am working for voice authentication. First, I extracted voice features from user as MFCC. After that, I use the "gmm_estimate" function to get the mean, variance and wights to form the GMM. For now, let say I have multiple voice samples from same…
Jin Sheng
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Tensorflow: KL divergence for a Gaussian Mixure

I know with python and scikit learn, how to calculate KL divergence for Gaussian mixture given that its parameters such as weight, mean, and covariance as np.array,as shown below. GaussianMixture initialization using component parameters -…
JimSD
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Normal distribution has higher probability for multimodality than unimodality

I am trying to analyze a mixture model using the mixtool package, in other words, I would like to analyze if my data is a uni-, bi- or multimodal distribution. For simplicity here an example: library(mixtools) #creating an aritifical normal…
Jara
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How to use GMMs returned by opencv grabcut to calculate possibilities of a pixel belonging to foreground or background

I have been scratching my head try to understand how to use the GMM model returned by the opencv grabcut function(python API), the GMM models returned are 2* 64 elements tuple which I assume contains both the mean and variance information but I…
Susie
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R: Adding group and individual polynomial trend lines to a GMM plot

I am struggling with how to add both individual and a group trend line to my plots. (R and using ggplot2). Here is the code that I am using: MensHG.fm2=lmer(HGNewtons~Temperature+QuadTemp+Run+(1|Subject),MenstrualData)…
Joolie
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GMM in R with integral of normal CDF

I'm trying to run a GMM estimation which includes the integration of the normal CDF, for which parameters exist in both the function and the integration interval. The gist of the codes as follows: g1 <- function(b,x){ e <- b[1] +b[2]*x$x1 r <- e…
seamux
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training UBM with sidekit from custom data

I am trying to train GMM-UBM model from data that i have already extracted for emotion recognition with SIDEKIT(pretty much the same as speaker recognition. I also don't understand the HDF5 feature file system). My data is an ndarray with shape…
stefos
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Solving for 2 variables under GMM

I tried to solve for a 2*1 matrix of GMM estimators with the following code: x<-rnorm(50, mean = 3, sd = 2) y<-rnorm(50, mean = 4, sd = 1) z_1<-as.matrix(x) z_2<-as.matrix(y) e<-function(RGAAA,x,y) {m1<-exp(-x/RGAAA[1])-1 …
LINDA HWUNG
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