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Python Library for Continuous Desity Hidden Markov Model which is widely used in Speech Recognition.

Project description

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.

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