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.
Principal Data Engineer Rajesh Mattaparthi is using transformer-based AI to detect hidden faults in standby power generators ...
Cornell Lab for Ornithology plans data linkup between app and population monitoring on eBird platform ...
Directed by Rebecca Lingafelter, this production by Portland Experimental Theatre Ensemble (PETE) tackles the slippery ...
Authorities could be able to determine which apps are being used by analysing faint electromagnetic signals emitted as the ...
Morning Overview on MSN
Crows can mimic over 50 alarm calls, aiming them at whichever species has the most food
Fork-tailed drongos in South Africa’s Kalahari Desert can produce up to 51 distinct mimicked alarm calls and deploy them ...
cisc-867 deep learning course project. speech emotion recognition (ser) on ravdess using a lightweight 1d cnn on log-mel-spectrograms, compared against a classical mfcc + svm baseline. optimized for ...
There are plenty of radios you can buy that pick up MW and SW bands if that’s what you’re into. Or, you can follow [mircemk]’s example, and whip one up yourself instead. The build employs an ESP32 as ...
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