Bridging the Gap between Pre-Training and Fine-Tuning for End-to-End Speech Translation
Table 6: BLEU results of LSTM-based models on Librispeech En-Fr. *: The ESPnet baseline results are copied from https://github.com/espnet/espnet/blob/master/egs/libri˙trans
['Model MT', 'Model berard2018endberard2018end', 'BLEU 19.2']
Even without utilizing large-scale ASR data or MT data, our method can outperform the pre-training baselines and achieve the same performance with \citeauthorDBLP:journals/corr/abs-1904-08779 \shortciteDBLP :journals/corr/abs-1904-08779, which uses a MT model as a teacher model to guide the ST model.