A Reddit user is seeking advice on improving a binary noise classification model that utilizes a Convolutional Recurrent Neural Network (CRNN) and the Mean Teacher algorithm. The model is struggling with precise temporal boundary localization, particularly with onset and offset timing mismatches, which has been exacerbated by an aggressive consistency weight schedule during semi-supervised training. The user aims to achieve a combined F1 and Dice score of at least 1.5, with current scores at 0.919 (0.284 F1, 0.635 Dice). AI
IMPACT This discussion highlights common challenges in temporal localization for audio classification models and explores potential solutions for semi-supervised learning.
RANK_REASON User seeking advice on an existing model and algorithm, not a new release or significant event.
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