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. Tested on the MPSSC dataset, the approach achieved a 67.1% test-set unweighted average recall, the highest value among the compared methods, but still needs external clinical validation.