Detection for Real Life Audio DCASE Challenge
We explore logistic regression classifier (LogReg) and deep neural network (DNN) on the DCASE 2016 Challenge for task 3, i.e. sound event detection in real life audio. Our models use the Mel Frequency Cepstral Coefficients (MFCCs) and their deltas and accelerations as detection features. The error rate metric favors the simple logistic regression model with high activation threshold on both segmentand event based contexts. On the other hand, DNN model outperforms the baseline in frame based context.