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.

with YOLO-compatible output format.

Scientists are using artificial intelligence to analyze troves of images and audio, gaining unprecedented insight into the ...

Abstract: This article describes a deep latent variable model of speech power spectrograms and its application to semi-supervised speech enhancement with a deep speech prior. By integrating two major ...

Abstract: Wi-Fi channel state information (CSI)-based fall detection systems have a great potential compared with other alternatives since they are nonintrusive and nonspace limited. However, in the ...

The BDN outdoors section brings readers into the woods, waters and wild places of Maine. It features stories on hunting, fishing, wildlife, conservation and recreation, told by people who live these ...

Cornell Lab for Ornithology plans data linkup between app and population monitoring on eBird platform ...

An engineer has shown why Apple’s presenters don’t set of Siri on your iPhone during events.

Andy Lee of Brandsmiths explains how firm secured a win for Peppa Pig over rival children’s character Wolfoo, in a case that centred on copied audio clips The England and Wales High Court handed a ...

In 1997, NOAA recorded a mysterious sound heard across the Pacific, sparking sea monster theories before scientists traced it ...