question about "Efficient yet Competitive Speech Translation: FBK@IWSLT2022"

[hlt-mt]

question about "Efficient yet Competitive Speech Translation: FBK@IWSLT2022"

[mgaido91]

I'm closing this as I updated the description, now it should be clearer. Please feel free to re-open if something else is needed.

[mgaido91]

Thanks for your question. The related code can be found at:

https://github.com/hlt-mt/FBK-fairseq/blob/master/examples/speech_to_text/scripts/filter_on_char_ratio.py.

We will update the README in the next days with your suggestion. Or if you want to create a PR to update it, we appreciate that.

Unfortunately, as stated in the paper, we tested these methods only on MuST-C en-de. As such we do not know how and if our findings generalise to other datasets. In case you have more insights and you want to share with us, we would appreciate it. Thanks.

[zhhao1]

I'm closing this as I updated the description, now it should be clearer. Please feel free to re-open if something else is needed.

Sorry for the delay in reply. In the past I didn't remove punctuation from src text, so the filter ratio was set incorrectly. After setting the correct ratio, it will work properly. The updated description is very clear. This is very good work, and I believe that this data processing configuration should be widely used in the future because it is simple, but really effective.

[mgaido91]

Thank you for your feedback, and glad it helped. Please let me know if you have other questions.