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Abstract: Audio source separation is usually achieved by estimating the short-time Fourier transform (STFT) magnitude of each source, and then applying a spectrogram inversion algorithm to retrieve ...

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eeg_mae — Spectrogram Masked Autoencoder for Harmful Brain Activity Self-supervised representation learning on EEG spectrograms for the HMS – Harmful Brain Activity Classification task.

Abstract: Parkinson's disease is a neural degenerative disease. It slowly progresses from mild to severe stage, resulting in the degeneration of dopamine cells of neurons. Due to the deficiency of ...

Print Join the Discussion View in the ACM Digital Library Advances in sensor quality coupled with the widespread adoption of ...

Editor’s Note: There's a lot to look forward to in spring, including the welcomed hullabaloo of birdsong. The sheer volume of songs and calls can often feel overwhelming for birders, but these sounds ...

ABSTRACT: Epileptic seizures are characterized by abnormal neuronal discharges that cause significant disturbances in brain electrical activity ...

Fork-tailed drongos in South Africa’s Kalahari Desert can produce up to 51 distinct mimicked alarm calls and deploy them selectively against whichever neighboring species holds the most food.

DeepSig, a pioneer in AI-native wireless communications, today announced OmniSIG 4.0, a major update to its flagship radio frequency (RF) signal detection and analysis platform. This is the software’s ...

AI analysis of snoring sounds may help identify the source of upper airway obstruction and support non-invasive sleep ...

The internet is full of answers, but it also houses plenty of mysteries. Unfortunately, we can’t solve every crime or explain ...