Add linear models including instrumental variable and panel data models that are missing from statsmodels.

HMM based on KMeans and GMM

machine learning algorithm

Gaussian mixture models, k-means, mini-batch-kmeans and k-medoids clustering

This repo contains my attempt to create a Speaker Recognition and Verification system using SideKit-1.3.1

🔉 👦 👧Voice based gender recognition using Mel-frequency cepstrum coefficients (MFCC) and Gaussian mixture models (GMM)

基于Flask Web的中文自动语音识别演示系统,包含语音识别、语音合成、声纹识别之说话人识别。

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Lyrics-to-audio-alignement system. Based on Machine Learning Algorithms: Hidden Markov Models with Viterbi forced alignment. The alignment is explicitly aware of durations of musical notes. The phonetic model are classified with MLP Deep Neural Network.

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).

an tutorial implement of voice conversion using pytorch

SpeakerVoiceIdentifier can recognize the voice of a speaker by learning.

Implementations of machine learning algorithm by Python 3

The phoneme classification code for EUSIPCO 2017 paper: Timbre Analysis of Music Audio Signals with Convolutional Neural Networks

🔉 👦 👧 👩 👨 Speaker identification using voice MFCCs and GMM

color_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.

This VAD library can process audio in real-time utilizing GMM which helps identify presence of human speech in an audio sample that contains a mixture of speech and noise.

Project code for "Direct Fitting of Gaussian Mixture Models"

Course on GMM, Indirect Inference and Bootstrap for Economists (graduate level)

Gaussian Mixture Model clustering using OpenCv Expectation Maximization implementation

Speaker Recognition System using MFCC and GMM.

A LibreOffice Calc extension that clusters the rows in a table and color them to indicate the clusters.

codes for Single Image Super-resolution via Multiple Mixture Prior Models

Python implementation of basic machine learning algorithms

Anomaly Detection in Network Traffic using different clustering algorithm.

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

Implemented Gaussian Mixture Models (GMM) for image color segmentation.

A repos for USTH Digital Signal Processing 2020 Group 3 project. It's quite obvious in the title.

C++ implementation of GMM based LPV systems