Classification of Myanmar Ethnic Traditional Style Based Music Signals

Abstract

The large quantities of information in both audio and video is a great need for efficient ways of searching and retrieving relevant information. The goal of an audio indexing is to provide the capability of searching and browsing through audio content. This work presents an effort to discriminate Myanmar ethnic traditional style music based on the large number of audio features(timbre, rhythm, pitch) are evaluated for their suitability in such a classification task, including well-known physical and perceptual features, audio descriptors. For this purpose, we use the Multi Band Autocorrelation Peak (MBAP) features, extracted in multiple bands providing complementary information and give a better description of the audio signal and then use the classifier based on Training and Testing audio data to get class labels .The system have selected more popular cultural music styles of Myanmar ethnic music namely: Kachin, Kayin, Shan and Yakhine ethnic group songs for experiments.