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This paper proposes using a unified speech- Text representation Discovering framework to beat the lack of parallel speech-textual content datasets within the S2TT program and achieves competitive final results when compared with other state-of-the-artwork styles in CoVoST two dataset and presents substantial improvement inside the more challenging