Neural Simultaneous Speech Translation Using Alignment-Based Chunking
Table 1: Experimental results (in %) for simultaneous NMT of speech, IWSLT 2020 English→German.
['[BOLD] System', '[BOLD] Delay', '[BOLD] tst2015  [BOLD] Bleu', '[BOLD] tst2015  [BOLD] Ter', '[BOLD] must-c-HE  [BOLD] Bleu', '[BOLD] must-c-HE  [BOLD] Ter', '[BOLD] must-c-COMMON  [BOLD] Bleu', '[BOLD] must-c-COMMON  [BOLD] Ter']
For reference, we first provide the translation quality of an offline system that is trained on full sentences. It is a transformer “base” model Vaswani et al. Row 1 shows BLEU and TER scores for translation of the human reference transcription of the speech input The ASR system has a word error rate (WER) of 8.7 to 11.2% on the three test sets, causing a drop of 4-6% BLEU absolute.