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.
Short term spectral analysis, synthesis, and modification by discrete fourier transform,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.SD 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
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.