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.
Abstract: Convolutional networks have achieved the state-of-the-art performance on Acoustic Scene Classification (ASC). Given the Log Mel-Spectrogram of an audio sample, the network can extract useful ...
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