Abstract Speech Synthesis plays an important role in enhancing human-machine interaction. In recent decades, researchers are paying more attention on the emotional expression in the synthetic voice. This is because the appropriate emotion can help improve the naturalness of the synthetic voice and thus increase its acceptability by the public. This project aims at developing a HMM-based Malay emotional speech synthesizer that is practical to be deployed in real life application. In order to make it applicable to the public, an Expressive Malay Online Speech Interface (EMOSI) that is able to synthesize any form of Malay text input in different expression will be created.


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    Expressive Malay Online Speech Interface (EMOSI)

    Chai, Ai-Dii / Lutfi, Syaheerah Lebai | TIBKAT | 2019


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