Before revision:  To reduce the learning difficulty, we propose SDST , an integral framework withS uccessiveD ecoding for end-to-endS peech-to-textT ranslation task. This method is verified in two mainstream datasets . Experiments show that our proposed  improves the previous state-of-the-art methods by big margins.
After revision:  To reduce the learning difficulty, we propose SDST , an integral framework withS uccessiveD ecoding for end-to-endS peech-to-textT for speech-to-text translation. Our method is verified in two mainstream datasets . Experiments show that our proposed  improves the previous state-of-the-art methods by big margins.