Beyond the Subjectivity of Auscultation: AIIMS India's Digital Lung Sound Analysis Innovation Achieving 95.75% Accuracy

In this study, the AVMD-ST (Attention-Variational Mode Decomposition based Spectrogram Transformer) framework is proposed to ...

Scientists see new vocal patterns associated with type 2 diabetes

A new study in the IEEE Journal of Biomedical and Health Informatics reveals how scientists at Klick Labs created visual maps of sound frequencies (spectrograms) to identify complex, new patterns ...
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Computational study finds strong benchmark performance from attention-enhanced CNN–Transformer music-genre classifier

A computational study of GTZAN and ASAP audio datasets reports that the CCTAF-MSR CNN–Transformer model reached 86.40% ...

Getting Started with Bird Vocalization Analysis in Rust

Getting Started with Bird Vocalization Analysis in RustAn introduction to signal processing and implementation guide for ...