ESPnet-ST: All-in-One Speech Translation Toolkit
Table 6: BLEU of MT systems on IWSLT 2016 corpus
['Framework', 'En→De test2012', 'En→De test2013', 'En→De test2014', 'De→En test2012', 'De→En test2013', 'De→En test2014']
ESPnet-ST achieves the performance almost comparable to the Fairseq. We assume that the performance gap is due to the minor difference in the implementation of two frameworks. Also, we carefully tuned the hyper-parameters for the MT task in the small ST corpora, which is confirmed from the reasonable performances of our Cascaded-ST systems. Thus, it is possible that the suitable sets of hyper-parameters are different across frameworks.