An Edge-Optimized Incremental Learning Algorithm For Audio Classification

In the proposed demo, we would like to show the incremental learning for audio classification using an embedded system. Figure 1 shows the overview of the data processing based on our proposed incremental learning algorithm. The proposed incremental learning algorithm can increase the capability of DNN model to classify new audio sounds which are not included in the base model. In the proposed system, the audio data is gathered at the edge device, and DNN model is trained using our proposed algorithm to learn about the new classes while retaining the knowledge about previous classes as well.