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hitachi-speech / EEND

End-to-End Neural Diarization

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Have you tried this on the AMI dataset？

melttt opened this issue · comments

commented

Great paper! I like the idea. but I get a terrible result in AMI dataset(about 40+ der)。

commented

@hshota0530 I also try to reproduce on AMI by myself, and I also get a terrible result. Could you share your pertrained model before adaption on AMI dataset or the final model on AMI dataset? Thanks!

commented

You may have seen our arxiv preprint (https://arxiv.org/abs/2106.10654), but the codes in this repo are based on our INTERSPEECH 2020 paper. We have some updates from the INTERSPEECH version, so results on AMI will be very different since AMI mostly consists of four-speaker conversations. Now we are planning to release our new implementation based on the arxiv version.

commented

Thanks for your reply. Is it convenient for you to tell me what you plan to release your update? You don’t seem to update this repository often.

You may have seen our arxiv preprint (https://arxiv.org/abs/2106.10654), but the codes in this repo are based on our INTERSPEECH 2020 paper. We have some updates from the INTERSPEECH version, so results on AMI will be very different since AMI mostly consists of four-speaker conversations. Now we are planning to release our new implementation based on the arxiv version.