Metadata-Version: 2.0
Name: cdhmm-ashishmokalkar
Version: 0.0.1
Summary: Python Library for Continuous Desity Hidden Markov Model which is widely used in Speech Recognition.
Home-page: https://github.com/ashishmokalkar/cdhmm
Author: Ashish Mokalkar
Author-email: ashishmokalkar79@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown

An easy to use python library consisting implementation of Continuous Density Hidden Markov Models.After studying Hidden Markov Models(HMM) for a while now, I have came across many python libraries which implements HMM algorithms like forward,  backward, Viterbi and Baum-Welch. However, most of these libraries work on discrete observations. Continuous Density Hidden Markov Models(CD-HMM) are a type of HMM which consists of Emission probabilities in the form of a distribution like gaussian or uniform distribution. Despite its use in Speech processing, very less codes are available on the internet regarding CD-HMM. This library has implementation of all HMM algorithms applied on continuous density observations.


