If you can measure it, consider it predicted

A demo for simple isolated Chinese speech word recognition using GMMHMM in Python

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

The overall goal of this project is to build a word recognizer for American Sign Language video sequences, demonstrating the power of probabilistic models.

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

In this project, I built a system that can recognize words communicated using the American Sign Language (ASL). I was provided a preprocessed dataset of tracked hand and nose positions extracted from video. My goal was to train a set of Hidden Markov Models (HMMs) using part of this dataset to try and identify individual words from test sequences.

Projects from Udacity's Artificial Intelligence Nanodegree (August 2017 cohort) - TERM 1.

Intelligent system for pattern recognition: image, signal and text processing with deep learning and generative learning models.

Code used to generate results for my thesis comparing Hidden Markov Models and Dynamic Time Warping as time series classification tools.

Machine Learning based Personal Voice Assisstant and text independent (Development phase)

Machine Learning on Images and Audio

Python projects using the hmmlearn python library with performance analysis.

Algorithms used in Natural Language Processing

My solutions to the projects assigned for the Udacity Artificial Intelligence Nanodegree

this is kak rizmi project with hmm for speech recognition