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This paper proposes using a unified speech- Textual content representation Studying framework to overcome the scarcity of parallel speech-text datasets in the S2TT technique and achieves aggressive final results in contrast with other condition-of-the-art products in CoVoST 2 dataset and delivers major improvement inside the tougher situation of Th