Environmental sound classification system

Abstract

This paper presents environmental sound classification system and performance comparison on ESC 10 dataset. The feature extraction method includes cochlea and auditory nerve models. Classification model includes classic convolutional neuron network architectures. Experiments based on different architectures of convolutional neural networks and proposed feature extraction method. The model outperforms baseline implementations and achieves results comparable to other state-of-the-art approaches.

Keywords

• esc 10
• cochlea
• auditory nerve spikes
• feature extraction
• sound classification
• convolutional neuron networks
• esc 10