I'm trying to make a Speaker recognition (not speech but speaker) system using Python. I've extracted mfcc features of both train audio file and test audio file and have made a gmm model for each. I'm not sure how to compare the models to compute a…
I have clustered my data (12000, 3) using sklearn Gaussian mixture model algorithm (GMM). I have 3 clusters. Each point of my data represents a molecular structure. I would like to know how could I sampled each cluster. I have tried with the…
I wanna estimate interest rate process using gmm.
So, I referenced a this code. https://github.com/josef-pkt/misc/blob/master/notebooks/ex_gmm_gamma.ipynb
and following is my code.
import numpy as np
import pandas as pd
from…
According to a paper, it is supposed to work.
But as a learner of scikit-learn package.. I do not see how.
All the sample codes cluster by ellipses or circles as here.
I would really like to know how to cluster the following plot by different…
I am trying to train multiple GMM model with different training words. Then I am trying to test my models with an unseen testing word, I am getting negative values. Any idea what I am doing wrong?
from python_speech_features import mfcc
from…
While using scipy.stats.multivariate_normal how can I use a diagonal covariance matrix of dimension 128 * 39 using python.
I am implementing UBM and need some information about testing of a sound wav file given I have adapted parameters.
I have a data with a series of gene expression. I am trying to locate the bimodal distribution and the classification of samples under one or the other fitted Gaussian Distribution. How would you find the classification attribute from the fitted…
Using Matlab, I have a one Healthy data and 7 Faulty data which are composed of 9 variables and after PCA on my healthy data I have got 3 PCs.
Now when I'm projecting the faulty data on the PCs I get overlapping between healthy and faulty data. Now…
I found out that it is possible to fit a gaussian mixture model to a 1-dimensional signal with sklearn (e.g. a histogram, see fist image) with sklearn.mixture.GaussianMixture (see here)
I now would like to fit a gaussian mixture model in 2…
I have a piece of code given below that generates gaussian distribution and samples data from it:
input = pd.read_csv("..\\data\\input.txt", sep=",", header=None).values
gmm = GMM(n_components=5).fit(input)
sampled = gmm.sample(input.shape[0],…
The K-means method cannot deal with anistropic points. The DBSCAN and Gaussian Mixture model seems that they can work with this according to scikit-learn. I have tried to use both approaches, but they are not working for my dataset.
DBSCAN
I used…
I am working on a project that requires extracting MFCC features from an audio stream. The project consists primarily of classification, although in the interest of expanding our dataset I am working on a detection algorithm to isolate the parts of…
I am trying to use sklearn.mixture.GaussianMixture for classification of pixels in an hyper-spectral image. There are 15 classes (1-15). I tried using the method http://scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html. In here…
I have a 2 dimensional data in the form of a text file. I have to build a GMM based on this data using Sidekit 1.2.
Which function should I use to estimate the parameters of the Gaussian model (Mean, covariance matrix, weighted average etc.)
Can you…
I would like to estimate the parameter 'r' using GMM, based on a rolling data set [1:2567],[2:2568]... and so on. Finally, the results are to be filled in a matrix.
I had already tested the core codes as follows, which yield valid answers.
…