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sshon-asapp avatar sshon-asapp commented on June 8, 2024

Conventional pipeline term in spoken language understanding indicates the system first generates transcription using ASR and then follows the NLP model to generate the final output. Thus, each module is trained with different objectives. An end-to-end system means you have a single model that is trained with a single objective (e.g. NER in this case). As long as you train the model in an end-to-end manner (audio or audio feature to label directly), we can regard it as an end-to-end model. Pre-training+fine-tuning can be regarded as an end-to-end system.

Submission link will be updated soon in this page.
https://asappresearch.github.io/slue-toolkit/interspeech2023_submission.html

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GT-KIM avatar GT-KIM commented on June 8, 2024

I understand. Thank you!

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