hmm-model

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

A easy HMM program written with Python, including the full codes of training, prediction and decoding.

🔬 ♌ Bacterial ribosomal RNA predictor

Discrete Hidden Markov Model (HMM) Implementation in C++

Implementation of Viterbi algorithm and Hidden Markov Model in C++

dEploid is designed for deconvoluting mixed genomes with unknown proportions. Traditional ‘phasing’ programs are limited to diploid organisms. Our method modifies Li and Stephen’s algorithm with Markov chain Monte Carlo (MCMC) approaches, and builds a generic framework that allows haloptype searches in a multiple infection setting.

Natural Language Processing Nanodegree from Udacity Platform, in which I implement Hidden Markov Model for POS Tagger, Bidirectional LSTM for English-French Machine Translation, and End-to-End LSTM-based Speech Recognition

This is a diacritization model for Arabic language. This model was built/trained using the Tashkeela: the Arabic diacritization corpus on Kaggle

Set of Hidden Markov Models to recognize words communicated using the American Sign Language

Simple English part-of-speech tagger : 93% accuracy

A Python library for working with and training Hidden Markov Models with Poisson emissions.

Automatic Speech Recognition (ASR) system was implemented using the HMM toolkit for building HMM model using training data. Then, this trained HMM Model was used for recognising words and results revealed that 80.02% accuracy for Phoneme Level Acoustic Model and 79.36% accuracy for word Level Acoustic Model. This developed system can be used by developers and researchers who are interested in speech recognition for language and any other related Indian languages.

Classifying English spoken digit by Hidden Markov Model

An official repository for tutorials of Probabilistic Modelling and Reasoning (2021/2022) - a University of Edinburgh master's course.

An implementation of Baum-Welch.

Simple implementation of Hidden Markov Model for discrete outcomes/observations in Python. It contains implementation of 1. Forward algorithm 2. Viterbi Algorithm and 3. Forward/Backward i.e. Baum-Welch Algorithm.

自然语言处理算法及其相关

Beginners' try with natural-language-processing end-to-end projects.

Udacity Natural Language Processing Nanodegree.

Compact implementation of discrete Hidden Markov Models in C and Python.

A R-Shiny web interface that forecasts fuel prices based on historical data, using HMM.

This repository contains a Hidden Markov Model for Speech Tagging in Python.

Hidden Markov Model Library

Đề tài: Nghiên cứu - xây dựng bộ tổng hợp tiếng nói tiếng Việt dựa HMM. Giáo viên hướng dẫn: TS Nguyễn Thị Thu Trang

Generalized Pair Hidden Markov Chain Model (GPHMM)

Training a hidden Markov model through expectation-maximization, using Baum-Welch formulae, for applications in speech recognition

Coding assignments done during B.Tech (2015-2019) at IIEST, Shibpur, and during Ph.D. at IIT Guwahati (2019-present)

Hidden Markov model for song generation