In this thesis, we propose a Taiwanese speech synthesis system based on Hidden Markov Model and combine Mandarin dictionary and Taiwanese dictionary to build up a Mandarin-to-Taiwanese translation dictionary. With this dictionary, Mandarin articles can be translated into Taiwanese articles as input for Taiwanese speech synthesis system. Hence, a Taiwanese speech synthesis system with Mandarin input article is implemented. Consider the similarities on the grammar structure of Mandarin and Taiwanese, we train a Mandarin Hierarchical prosody model and use the training result to analysis the Taiwanese tone effect on Taiwanese syllable duration,syllable energy and pause distribution of Taiwanese speech database.