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In this paper, we present a result of HMM-based speech synthesis system applied to Indonesian expressive speech scorpus. The purpose is to observe speech quality of synthesized speech, conversely. Firstly, we selected expressive Indonesian conversation from movie, novel, and drama transcript. We developed speech database based on phonetically balanced sentence set in which consist of 33 Indonesian phonemes and its IPA symbols and formed 655 sentences. Three expressive styles were applied,doi:10.18154/rwth-conv-239574 fatcat:gajzonxr5jd6tfpm2a5ltftmxa