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

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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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