Hidden Markov Models Lecture
Digital signals are ubiquitous and have many applications in several disciplines:
-Digital Media, Social Media (music, voice signals),
-Biomedical Signal Analysis and Diagnosis,
-Bioinformatics
-Autonomous cars, drones, marine vessels, robots
-Big Data Analytics,
-Internet and Communications (music broadcasting, streaming).
-Scientific signal acquisition of any sort, e.g., Environment Sensing, Geophysical Prospecting.
This lecture overviews Hidden Markov Models that have many applications in Data Analytics and Signal Analysis. It covers the following topics in detail: Markov Chains. Hidden Markov Chains: Viterbi algorithm, Forward-backward algorithm. HMMs applications: Speech recognition, Name-entity recognition, Human Action Recognition, Gesture recognition.