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Text-to-speech synthesiser systems are of overall good quality, especially when adapted to a specific task. Given this task and an adapted voice corpus, the message quality is mainly dependent on the wording used. This paper presents how a paraphrase generator can be used in synergy with a text-to-speech synthesis system to improve its overall performances. Our system is composed of a paraphrase generator using a French-to-French corpus learnt on a bilingual aligned corpus, a tts selector based on the unit selection cost, and a tts synthesiser. We present an evaluation of the system, which highlights the need for systematic subjective evaluation.