An Audio Classification Approach using Feature extraction neural network classification Approach

Audio signal and audio data is an important information data. It make useful to understand behaviour and understanding of existing or past scenario. There are multiple features in sound signal which help in such analysis. There are many approach such as wavelet analysis, chroma, centroid based approach and MFCC is the main approach for such feature extraction. In this paper there is a sound classification using the proper feature extraction then followed by proper classification using fast efficient neural network based approach is proposed. This algorithm process and classify the sound input dataset and help in high classification rate classification. The execution of this system is performed using Matlab 2018b and result execution performance shows the efficiency of algorithm over traditional classification solution.