| Summary: | 碩士 === 國立交通大學 === 電信工程系所 === 93 === Synthesis units in Text-to-Speech system have developed from base syllable to waveform units of variable lengths. A set of corpus-based text-to-speech synthesis technologies for Mandarin Chinese usually comprises two main problems to solve：How to find all possible candidates in speech corpora effectively? How to select appropriate synthesis unit to concatenate? Firstly, the thesis presents a continuous-correlative comparison method to solve searching candidates’ problem. Secondly, cost function is used to find the appropriate synthesis unit retrieved from the corpus and concatenated to produce the output speech.
Finally, we use a subjective test called Mean Opinion Scores (MOS) to test whether our synthesized speech is natural or not. The assessment indicates our Corpus-based Mandarin TTS System indeed significantly improve the naturalness of synthesized speech quality. Besides, we also analyze synthesized speech to give advices in the future works.
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