Abstract: The passive acoustic monitoring (PAM) community has achieved remarkable success using magnitude-only short-time-Fourier-transform (STFT) spectrograms for underwater acoustic classification, ...
Ultra-compact transformer architecture for real-time RPM estimation from STFT spectrograms. Achieves R²=0.883, MAE=104.09 RPM with 3.5MB model size. Includes pre-trained model on Hugging Face.
James is a published author with multiple pop-history and science books to his name. He specializes in history, space, strange science, and anything out of the ordinary.View full profile James is a ...
A better form of cloud storage. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Before it was used to subject us to an endless churn of ads and ...
Background: Auscultation is a critical diagnostic feature of lung diseases, but it is subjective and challenging to measure accurately. To overcome these limitations, artificial intelligence models ...
Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field of signal ...
Zafar's Audio Functions in Python for audio signal analysis: STFT, inverse STFT, mel filterbank, mel spectrogram, MFCC, CQT kernel, CQT spectrogram, CQT chromagram, DCT, DST, MDCT, inverse MDCT. Zafar ...
Abstract: Spectrograms provide an effective way for time-frequency representation (TFR). Among these, short-time Fourier transform (STFT) based spectrograms are extensively used for various ...
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