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Found 3 papers, 1 papers with code
SpectNet : End-to-End Audio Signal Classification Using Learnable Spectrograms
In this paper, we present SpectNet, an integrated front-end layer that extracts spectrogram features within a CNN architecture that can be used for audio pattern recognition tasks.
Heart Sound Classification Considering Additive Noise and Convolutional Distortion
Based on the analysis, we propose a combination of linear and logarithmic spectrogram-image features.
Towards Domain Invariant Heart Sound Abnormality Detection using Learnable Filterbanks
Cardiac auscultation is the most practiced non-invasive and cost-effective procedure for the early diagnosis of heart diseases.
Signal Processing
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