Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension
Table 4: Comparison experiments demonstrating that the proposed approaches improved EM/F1 scores over ASR transcriptions. All experiments were conducted with BiDAF, which originally take word and character sequence embedding as inputs.
['[BOLD] MODEL', '[EMPTY]', '[BOLD] EM', '[BOLD] F1']
We chose BiDAF as the reading comprehension model. Because ASR errors can be considered as noise, we can see that adding dropout offered improvements (rows (b) v.s. (a)), while using phoneme or syllable sequence embedding is even better (rows (c), (d) v.s. (b)).