zabir-nabil/speaker-verification-gmm

Speaker verification using Gaussian Mixture Model (GMM)

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paolotron/PatternLib

Library for machine learning and pattern recognizion project

Language: Python - Size: 10.4 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

saeid436/Multimodal-Gaussian-Distribution-Approximation

Approximation of mixing different gaussian distribution with Self-organizing Map(SoM) and Radial Basis Function(RBF)

Language: MATLAB - Size: 1.95 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 1

Omar-Saad-ELGharbawy/Voice-Fingerprint-Identification

Voice Id Door Lock Web-App is a Speaker-Identification and Sentence-Verification using Voice MFCCs Feature and GMM

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alexsuakim/MachineLearning

Machine learning model implementations from scratch in Python

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karan-sutariya/Data-Clustering-using-K-Means-EM-algorithms

This repository implements K-Means clustering on the Old-Faithful dataset, with visualization of clustering iterations and distortion. It also applies K-Means for image compression/segmentation and utilizes the EM algorithm with a Gaussian Mixture Model for classification.

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KMdsy/seq2gmm

Open source code for paper "Robust Group Anomaly Detection for Quasi-Periodic Network Time Series"

Language: Python - Size: 1.14 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

Abhay2412/ENCM509FinalProject

ENCM 509 - Fundamentals of Biometric Systems Design - Winter 2024

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MangoPomelo/GaussianMixture

Gaussian Mixture with em algorithm from scatch in Python

Language: Python - Size: 12.7 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

EsraaMadi/Gaussian-Mixture-Model-Clustering

Simple guide for gaussian mixture clustering algorithm

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mzaradzki/probabilistic-javascript

Javascript functions to fit and to simulate probabilistic models

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SFLazarus/Mixture-Models

Built a heuristic algorithm to model the data using mixture models of probability distributions programmatically

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rbaygildin/brain-tumor-segmentation

Brain tumor (low-grade and high-grade glioma) segmentation using unsupervised methods

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ludlows/wgmm

Wrapped Gaussian Mixture Model for angular clustering

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siavashk/GMM-FEM 📦

Biomechanically Constrained Point Cloud Registration Using Gaussian Mixture Models

Language: C++ - Size: 2.07 MB - Last synced at: about 1 year ago - Pushed at: over 8 years ago - Stars: 39 - Forks: 14

tianrui-qi/QuadraticNeurons

Code and data associated with the paper "Superiority of quadratic over conventional neural networks for classification of Gaussian mixture data".

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XiaobingDean/GMM_tensorflow

Gaussian mixture models in Tensorflow.

Language: Python - Size: 398 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 1

ArmandoGaGo/KMeans-GaussianMM-and-KMedoids

Using the credit card customer base dataset, identify different segments in the existing customer base, taking into account their spending patterns as well as past interactions with the bank.

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Gallillio/Unsupervised_Clustering_Music_Recommendation_System

Music Recommendation System using Unsupervised Machine Learning Clustering Methods using K-Means, Fuzzy C Mean DBSCAN, Gaussian Mixture Model, BIRCH and Agglomerative Clustering

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WI-KIWI/DataScienceSummit2017

For the data science summit 2017 in Bamberg

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RamezElmasry/Advanced-Video-Processing

Coding solutions to various image processing problems integrating statistical algorithm known as Expectation-Maximization (EM), and clustering algorithm known as Gaussian Mixture Model (GMM).

Language: Python - Size: 16.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ty-fel/Predicting-Spoken-Digits

Project to predict spoken digits in Arabic using a Gaussian Mixture Model.

Language: Python - Size: 17.1 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

AhmetZamanis/WeatherAnomalyDetectionClassification

Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.

Language: Python - Size: 23.8 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

rogertrullo/Bayesian-Methods-for-Machine-Learning

Bayesian Methods for Machine Learning

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enesozi/ML-course-HW3

Implementation of Mixture of Gaussians and K-NN

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waitingcheung/PyML

A minimalistic implementation of common machine learning algorithms in Python and NumPy.

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ttperr/DD2434-ML-KTH

DD2434 - Machine Learning Advanced projects at KTH.

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Bbowen100/Intro-ML-Algos

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sarankrish/machine-learning-notebooks

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paultsw/mixdenoise

A GMM-denoising module for pytorch.

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rdesarz/gmphd

Python implementation of the Gaussian Mixture Probability Hypothesis Density Filter

Language: Python - Size: 36.1 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

kpandey008/Road-detection-and-tracking

Involves the OpenCV based C++ implementation to detect and track roads for almost realtime performance

Language: C++ - Size: 24.6 MB - Last synced at: 11 months ago - Pushed at: over 7 years ago - Stars: 24 - Forks: 7

hegdebhavya/CMPE257-Machine-Learning-Assignments

This repository contains all the assignments of CMPE257 Machine Learning course

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benediktfesl/MFA_estimator

Implementation of the channel estimator based on Mixture of Factor Analyzers (MFA).

Language: Python - Size: 8.79 KB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

benediktfesl/MFA_cplx

Python implementation of a complex-valued version of the expectation-maximization (EM) algorithm for fitting Mixture of Factor Analyzers (MFA).

Language: Python - Size: 18.6 KB - Last synced at: 4 months ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

wayne-turner/re_stochastic_neighbor_embedding

Guide for dimensionality reduction and clustering analysis.

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asif-shahriar11/Machine-Learning

Machine learning models.

Language: Python - Size: 86.3 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

SinaMirrazavi/LPV

C++ implementation of GMM based LPV systems

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bhanu-kanamarlapudi/Covid_19-Michigan

Michigan Covid-19 prediction

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polyactis/Accucopy

Accucopy is a computational method that infers Allele-specific Copy Number alterations from low-coverage low-purity tumor sequencing Data.

Language: C++ - Size: 1.04 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 14 - Forks: 4

bertini36/GMM

Variational Inference in Gaussian Mixture Model

Language: Python - Size: 98.9 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 56 - Forks: 16

pedropro/OMG_Depth_Fusion

Probabilistic depth fusion based on Optimal Mixture of Gaussians for depth cameras

Language: C++ - Size: 214 MB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 60 - Forks: 17

ogozuacik/gaussian-mixture-models

implementation of expectation maximization algorithm for gaussian mixture models and comparing it with non-parametric histogram estimation

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ayushmankumar7/Mixture-Density-Networks

Simple Mixture Density Model implementation in Pytorch

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COINtoolbox/GMM_Catalogue

Catalogue with probabilistic classification of galaxies based on their ionization source

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Ahonanhin/NaiveBayes

Text Classification with Naive Bayes Classifier

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lipovec-t/vi-gaussian-dpm

Coordinate Ascent Variational Inference for Dirichlet Process Mixtures of Gaussians

Language: Python - Size: 1.72 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

cankobanz/machine-learning-projects

Machine learning course projects are contributed.

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leandrofgr/GaussianMixMCMC_Metropolis

Codes related to the publication Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion

Language: MATLAB - Size: 1.64 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 21 - Forks: 3

kyomangold/ETH-MachineLearning

Repository for the code of the "Introduction to Machine Learning" (IML) lecture at the "Learning & Adaptive Systems Group" at ETH Zurich.

Language: Python - Size: 568 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

steverab/tensor-gmm

Implementation of learning a Gaussian mixture model using tensor decomposition.

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AISoltani/Clustering-in-Python Fork of sandipanpaul21/Clustering-in-Python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 1

conradsnicta/armadillo-gmm

gmm_diag and gmm_full: C++ classes for multi-threaded Gaussian mixture models and Expectation-Maximisation

Language: C++ - Size: 1000 Bytes - Last synced at: 2 days ago - Pushed at: almost 3 years ago - Stars: 11 - Forks: 4

ColeConte/gaussian-mixture-model

Gaussian Mixture Model implementation.

Language: Python - Size: 187 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

glassfox15/credit_card_segmentation

Credit Card User Segmentation With Clustering Techniques: Project for Math 156 (Machine Learning) at UCLA, Fall 2023

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hgarud/Face_Classification

A comparative study between 5 different binary classification techniques.

Language: Python - Size: 106 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

v18nguye/gulfstream-lrm

The project development aims to interpolate the seawater temperature, salinity three-dimensional structure, and to understand the physical oceanography in the turbulent region Gulf Stream by exploiting the latent regression model and deep regression neural networks.

Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

jiajunhe98/Probabilistic-Graphical-Models-and-Gaussian-Mixture-Models

This repository summaries Probabilistic Graphical Models and uses Gaussian Mixture Models as an example to illustrate these basic ideas.

Language: Python - Size: 3.07 MB - Last synced at: 10 months ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

dvircohen0/ML-101

Machine-Learning-Algorithms-From-Scratch

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jayshah19949596/Machine-Learning-Models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Language: Matlab - Size: 4.88 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 291 - Forks: 143

yassiommi/gaussian-mixture-model

Gaussian Mixture Model in Python

Language: Python - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

ahmedhumza94/customer_segments

Unsupervised clustering of the UCI Wholesale Customer Spending Dataset

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snigdhab7/Iris-Clustering-Exploration

Unlocking Iris dataset mysteries with Gaussian Mixture Models and K-Means clustering algorithms.

Language: Python - Size: 33.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hrootscraft/audio-classification

Statistical Model (GMM) employed for Audio Classification

Language: Jupyter Notebook - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

hahnec/multimodal_emg

Multimodal Exponentially Modified Gaussians with Optional Oscillation

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Amin-Azar/GMEE

Gaussian Mixture Error Estimation for Approximate Circuits

Language: MATLAB - Size: 828 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

zhihanyang2022/gradient-gmm

Finite mixture of full-rank Gaussians for density estimation & variational inference.

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zhangchicheng/Machine-Learning-in-Numpy

Implement Basic Machine Learning Algorithms from Scratch

Language: Jupyter Notebook - Size: 190 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

one2blame/splintershell

A Python package for blending shellcodes into network traffic using unsupervised learning

Language: Python - Size: 4.2 MB - Last synced at: 16 days ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

sankhaMukherjee/densityNN

Language: Jupyter Notebook - Size: 9.72 MB - Last synced at: 26 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

wentaoyuan/deepgmr

PyTorch implementation of DeepGMR: Learning Latent Gaussian Mixture Models for Registration (ECCV 2020 spotlight)

Language: Python - Size: 615 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 120 - Forks: 14

navigator8972/roboschool_baxterstriker

roboschool environment for baxter ball striking

Language: Python - Size: 8.21 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

navigator8972/pcae

Point Cloud Gaussian Mixture Models and Shape Completion with Auto-encoder embeddings

Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 4 - Forks: 2

Snigdho8869/Clustering-Projects

Repository for various clustering projects including mall customer segmentation and more. Explore data analysis and clustering techniques

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GiuDF1102/Language-Indentification-2023

Italian Language Detection from Utterance Embeddings: A Comparative Study of SVM, Gaussian Models, Logistic Regression, and GMM. Made for the Machine Learning and Pattern Recognition course at Politecnico di Torino.

Language: Python - Size: 6.9 MB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 2

gabrielecastellano/early-exit-distillation Fork of yoshitomo-matsubara/head-network-distillation

Early Classification in Split Computing with Regularized Bottlenecks

Language: Jupyter Notebook - Size: 4.71 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

vincent27hugh/Cluster-Kmeans-EMGMM-PCA

Wine Types Clustering using K-Means, EM-GMM and PCA

Language: Jupyter Notebook - Size: 12.5 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 4

panlanfeng/LatentGaussianMixtureModel.jl

The Julia package for estimating and testing a generalized linear mixed model with normal mixture random effects

Language: Julia - Size: 563 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 2 - Forks: 2

aayush210789/Clustering-using-Mixture-of-Gaussians

Clustering using the Mixture of Gaussians model on Peterson and Barney’s dataset of vowel formant frequencies.

Language: Matlab - Size: 323 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 0

venkatesh-eranti/Clustering_Project_online-retail_case-study

For an UK based non-store online retail for which we need to cluster it's customers in to different groups so that we can run targeted campaign for each group

Language: Jupyter Notebook - Size: 475 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

fazanham/ExpectationMaximization

A class for unsupervised classification using Expectation Maximization

Language: C++ - Size: 162 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 3

hbahadirsahin/gmvae

Language: Python - Size: 2.5 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 8 - Forks: 7

aszilagyi/gmentropy

calculate configurational entropy from a conformational ensemble

Language: Python - Size: 49.8 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 4 - Forks: 1

bghojogh/Density-Based-Classifiers

The code of GMM and MAF classifiers

Language: Python - Size: 96.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

nonkloq/ml-from-scratch

Machine Learning Algortihms from scratch.

Language: Jupyter Notebook - Size: 11 MB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

sandipanpaul21/Clustering-in-Python

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

Language: Jupyter Notebook - Size: 16.2 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 81 - Forks: 35

rahulraghatate/Machine-Learning

ML Algorithms from scratch

Language: Python - Size: 1 MB - Last synced at: over 1 year ago - Pushed at: about 8 years ago - Stars: 0 - Forks: 0

JuzerShakir/Creating-Customer-Segments 📦

Applied Unsupervised Learning techniques on product spending data collected for customers of a wholesale distributor to identify customer segments hidden in the data.

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DhanaShravya/Wine-clustering-and-classification-using-ML

Wine Classification using Machine learning algorithms

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mcoric96/Generative-modelling-Boston-dataset

Generative models for creating synthetic data from Boston housing dataset

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jiwidi/gmm-classifier

Python implementation for a Gaussian mixture model classifier!

Language: Python - Size: 313 KB - Last synced at: 5 days ago - Pushed at: almost 5 years ago - Stars: 5 - Forks: 0

gonza0305/Speaker-identification-using-GMM

Text-independent speaker identification system based on GMM

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jonzia/GaussianMixture

Unsupervised clustering with Gaussian mixture models (GMMs) (MATLAB).

Language: MATLAB - Size: 10.7 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Jonas-Finkler/fortran-gmm-EM

extremely efficient implementation of the expectation maximization (EM) algorithm for Gaussian mixtures in fortran

Language: Fortran - Size: 37.1 KB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

XAheli/Spectrums

Spectrums: Optimize GMM params, UI, export palettes, improve clustering accuracy, and add customizable color schemes.

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TheReconPilot/gaussian-mixture-models

Gaussian Mixture Models (GMMs) with Expectation-Maximization and Gibbs Sampling

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gionanide/Speech_Signal_Processing_and_Classification

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. That is, to develop two-class classifiers, which can discriminate between utterances of a subject suffering from say vocal fold paralysis and utterances of a healthy subject.The mathematical modeling of the speech production system in humans suggests that an all-pole system function is justified [1-3]. As a consequence, linear prediction coefficients (LPCs) constitute a first choice for modeling the magnitute of the short-term spectrum of speech. LPC-derived cepstral coefficients are guaranteed to discriminate between the system (e.g., vocal tract) contribution and that of the excitation. Taking into account the characteristics of the human ear, the mel-frequency cepstral coefficients (MFCCs) emerged as descriptive features of the speech spectral envelope. Similarly to MFCCs, the perceptual linear prediction coefficients (PLPs) could also be derived. The aforementioned sort of speaking tradi- tional features will be tested against agnostic-features extracted by convolu- tive neural networks (CNNs) (e.g., auto-encoders) [4]. The pattern recognition step will be based on Gaussian Mixture Model based classifiers,K-nearest neighbor classifiers, Bayes classifiers, as well as Deep Neural Networks. The Massachussets Eye and Ear Infirmary Dataset (MEEI-Dataset) [5] will be exploited. At the application level, a library for feature extraction and classification in Python will be developed. Credible publicly available resources will be 1used toward achieving our goal, such as KALDI. Comparisons will be made against [6-8].

Language: Python - Size: 827 KB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 220 - Forks: 62

Xiaoyang-Rebecca/PatternRecognition_Matlab

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

Language: MATLAB - Size: 11.7 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 65 - Forks: 21

mx-ethan-rao/deepmetabin

A graph-based Gaussian Mixture Variational Autoencoder improves metagenome binning for short contigs

Language: Python - Size: 5.46 MB - Last synced at: about 1 year ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 0

Ellie190/Student-Segmentation

Web-based Clustering Application Using a Shiny Framework for Determining Student Engagement Levels in Virtual Learning Environments

Language: Jupyter Notebook - Size: 72.2 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0