[Question] Conformer pre-trained models
I would also be very interested! Hi, first thanks for developing this repo. It is quite useful. I am also interested in the pretrained conformer model. It would be helpful if this could also be added to ngc

Thanks, We have the plan to release publicly some checkpoints with Conformer-CTC, and maybe even Conformer-RNNT in our next release in March. > We have the plan to release publicly some checkpoints with Conformer-CTC, and maybe even Conformer-RNNT in our next release in March.

Thanks Vahid, this would be very helpful Thanks @VahidooX I see there are now pretrained conformers for the CTCEncDecBPE models [here](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/results.html#automatic-speech-recognition-models). Are there any checkpoints anywhere for the char version? I found the yaml file for training conformer + char but can't seem to find any pretrained models or checkpoints. Thanks! We do not have any plan to release any publicly available checkpoints trained with char-level encoding. In our experiments, accuracy of char-level models was worse than BPE-level models. Generally when you use downsampling, BPE-based models may work better. The current released checkpoints for Conformer-CTC are trained with just LS, and we have the plan to release some better checkpoints trained on larger datasets in the following month. @VahidooX , any plans on releasing Conformer-RNNT pre-trained weights? It would be helpful if you could share any sort of rough timeline as to when can we expect it.   It is on our roadmap and very likely that we release some RNNT models by the end of July, maybe even sooner. We are also going to release some Conformer-CTC models trained on larger datasets this month. Conformer-CTC checkpoints published:
https://ngc.nvidia.com/catalog/collections/nvidia:nemo_asr Is there anywhere a public table with librispeech test-other results?

Model Cards at https://ngc.nvidia.com/catalog/collections/nvidia:nemo_asr require nvidia login. On the side, I think this is baseless restriction of access. You may find the results on test-other in their corresponding model cards. Unfortunately we don't have a table with all results in the same place. You don't need to create accounts to get access to NGC, there is a button labelled "guest" on left bottom side of the login page. If you do it just once, you get access to all public pages on NGC.
Thanks authors for publishing ASR sources. I know that QuartzNet & Jasper are comparable to some SOTA model for S2T tasks. Recently, Google published "Conformer" encoder network and achieved very good performance on LibriSpeech. I saw that, that network source is released on new Nemo version. Could you please release pre-trained model for this?