This is the official repository of the papers "Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers" [IEEE MLSP 2024] and "Efficient Fine-tuning of Audio Spectrogram Transformers ...

Abstract: Class imbalance is a critical concern in the machine learning domain which relies on data heavily. The model may work poorly if the underlying data are not well-formed and balanced. Several ...

Abstract: Recent advancements in the domain of computer vision have enabled the analysis of audio spectrograms. In this paper, we present a novel approach that leverages spectrogram representations ...

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

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.

Deep learning methods have revolutionised the automatic categorisation of music into genres by replacing handcrafted features with data-driven representations. Central to this progress are ...

Earthquake sensors on the ocean floor were built to track tectonic plates, but scientists just discovered they have been ...

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

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

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

This copy is for your personal, noncommercial use only. New this week by Maggie Haberman and Jonathan Swan Simon & Schuster Audio Two White House correspondents for The New York Times delve into the ...

An Apache 2.0 designation makes Inkling a true open-source foundation. This gives developers the legal freedom to download, ...