A CNN with temporal self-attention and automatic frequency band selection improves respiratory sound classification accuracy and cuts computation by about half on public benchmark datasets.
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Improving Deep Learning-based Respiratory Sound Analysis with Frequency Selection and Attention Mechanism
A CNN with temporal self-attention and automatic frequency band selection improves respiratory sound classification accuracy and cuts computation by about half on public benchmark datasets.