EAMOMAC : An HMM-based design environment. This tool implements the most known algorithms of HMM (Hidden Markov Models) used in Pattern recognition : forward, backward, Viterbi (optimal path), Viterbi & Welsh-Baum (training), ... etc. Thanks to my colleagues Omar Mawloud and Hamadouche Maamar for their invaluable partnership and participation to this Project. A paper describing the application has been done . To download : the paper, the application.