Abstract: In this study, we present a new architecture system of isolated spoken word recognition using HMM model. This study is an alternative study used in speech recognition using sex dependent hidden Markov models. The new study is introduced, evaluated and compared with traditional study GHMM for isolated word recognition system. Both these studyes apply the same principles of feature extraction and time-sequence modeling; the principal difference lies in the architecture used for training and recognition phases.