Genre Classification of Traditional Malay Music Using Spectrogram Correlation

Abstract

A method to classify the genre of traditional Malay music using spectrogram correlation is described. The method can be divided into three distinct parts consisting of spectrogram construction that retains the most salient feature of the music, template construction that takes into account the variations in music within a genre as well as the music progresses, and template matching based on spectrogram image cross-correlation with unconstrained minimum average correlation energy filters. Experiments conducted with seven genres of traditional Malay music show that the recognition accuracy is dependent on the number of segments used to construct the filter templates, which in turn is related to the length of music segment used. Despite using a small dataset, an average recognition rate of 61.8 percent was obtained for music segments lasting 180 seconds using six relatively short excerpts.

Comparison of the Status Quo of Chinese Contemporary Popular Music and Traditional Music Based on Probability Theory and Mathematical Statistics

“…In probability theory and mathematical statistics, there are many methods that can be used for comparison, but not every method is suitable for the analysis and comparison of the status quo of Chinese music [17,18]. Probability theory and mathematical statistics are a subject in which the prior comes before the posterior.…”