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Hi! Thank you for sharing the code of your work. It might be a silly question, but I wonder why you haven't made any comparing with other strong solution trained on larger dataset L2-Arctic? The dataset has no sentence-level scores, but larger set of utterances with phoneme-level annotation. The authors claimed quite strong results of phoneme accuracy.
Also according to the same article, adding ASR loss increase the errors detection accuracy, why you decided not to use it as one of heads? Thanks.
The text was updated successfully, but these errors were encountered:
Hi! Thank you for sharing the code of your work. It might be a silly question, but I wonder why you haven't made any comparing with other strong solution trained on larger dataset L2-Arctic? The dataset has no sentence-level scores, but larger set of utterances with phoneme-level annotation. The authors claimed quite strong results of phoneme accuracy.
Also according to the same article, adding ASR loss increase the errors detection accuracy, why you decided not to use it as one of heads? Thanks.
The text was updated successfully, but these errors were encountered: